vit_models (#2)
Browse files- added vitmae models (990128b2b1967b0623d215dddd5ec7d311608764)
- {checkpoint β old_13M}/.gitattributes +0 -0
- {checkpoint β old_13M}/config.json +0 -0
- {checkpoint β old_13M}/optimizer.pt +0 -0
- {checkpoint β old_13M}/pytorch_model.bin +0 -0
- {checkpoint β old_13M}/rng_state.pth +0 -0
- {checkpoint β old_13M}/scheduler.pt +0 -0
- {checkpoint β old_13M}/trainer_state.json +0 -0
- {checkpoint β old_13M}/training_args.bin +0 -0
- vitmae_111M/config.json +31 -0
- vitmae_111M/optimizer.pt +3 -0
- vitmae_111M/pytorch_model.bin +3 -0
- vitmae_111M/rng_state.pth +3 -0
- vitmae_111M/scaler.pt +3 -0
- vitmae_111M/scheduler.pt +3 -0
- vitmae_111M/trainer_state.json +1614 -0
- vitmae_111M/training_args.bin +3 -0
- vitmae_650M/config.json +31 -0
- vitmae_650M/optimizer.pt +3 -0
- vitmae_650M/pytorch_model.bin +3 -0
- vitmae_650M/rng_state.pth +3 -0
- vitmae_650M/scaler.pt +3 -0
- vitmae_650M/scheduler.pt +3 -0
- vitmae_650M/trainer_state.json +1580 -0
- vitmae_650M/training_args.bin +3 -0
{checkpoint β old_13M}/.gitattributes
RENAMED
File without changes
|
{checkpoint β old_13M}/config.json
RENAMED
File without changes
|
{checkpoint β old_13M}/optimizer.pt
RENAMED
File without changes
|
{checkpoint β old_13M}/pytorch_model.bin
RENAMED
File without changes
|
{checkpoint β old_13M}/rng_state.pth
RENAMED
File without changes
|
{checkpoint β old_13M}/scheduler.pt
RENAMED
File without changes
|
{checkpoint β old_13M}/trainer_state.json
RENAMED
File without changes
|
{checkpoint β old_13M}/training_args.bin
RENAMED
File without changes
|
vitmae_111M/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/gpfs/gibbs/pi/dijk/BrainLM_runs/2023-11-16-12_05_00/checkpoint-900",
|
3 |
+
"architectures": [
|
4 |
+
"ViTMAEForPreTraining"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"decoder_hidden_size": 512,
|
8 |
+
"decoder_intermediate_size": 2048,
|
9 |
+
"decoder_num_attention_heads": 16,
|
10 |
+
"decoder_num_hidden_layers": 8,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.0,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"image_size": [
|
15 |
+
432,
|
16 |
+
432
|
17 |
+
],
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 3072,
|
20 |
+
"layer_norm_eps": 1e-12,
|
21 |
+
"mask_ratio": 0.75,
|
22 |
+
"model_type": "vit_mae",
|
23 |
+
"norm_pix_loss": false,
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_channels": 3,
|
26 |
+
"num_hidden_layers": 12,
|
27 |
+
"patch_size": 16,
|
28 |
+
"qkv_bias": true,
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.28.0"
|
31 |
+
}
|
vitmae_111M/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01eb309324822c7f97d7fbc58656abcab0d8d7ef5208d901f6783a95a7ce6be1
|
3 |
+
size 893440890
|
vitmae_111M/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25f5b52178f7409dee4fed2fa3dd18c6692d0764d96996ff0ee4be740520fcd6
|
3 |
+
size 450475202
|
vitmae_111M/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b24ac6de8ab41eb80a5d47d400cd9eb2c25a220d43926e7d672a46d2eb467a3b
|
3 |
+
size 14244
|
vitmae_111M/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d78b6f0b4efdd54634970fdb145978ff7d80f35a6b8a9bd537ef08492f5ba90e
|
3 |
+
size 988
|
vitmae_111M/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0b89122e73508ffdb5ac677595c6c25a7904c60895d91c44c1d3585c7d5b865f
|
3 |
+
size 1064
|
vitmae_111M/trainer_state.json
ADDED
@@ -0,0 +1,1614 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.01686818338930607,
|
3 |
+
"best_model_checkpoint": "/gpfs/gibbs/pi/dijk/BrainLM_runs/2023-11-17-17_20_00/checkpoint-3900",
|
4 |
+
"epoch": 19.711664482306684,
|
5 |
+
"global_step": 4700,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0,
|
12 |
+
"learning_rate": 2.100840336134454e-05,
|
13 |
+
"loss": 0.0209,
|
14 |
+
"step": 50
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0,
|
18 |
+
"eval_loss": 0.020767875015735626,
|
19 |
+
"eval_mae": 0.11019120365381241,
|
20 |
+
"eval_mse": 0.020768500864505768,
|
21 |
+
"eval_r2": 0.06256083852108052,
|
22 |
+
"eval_runtime": 126.6828,
|
23 |
+
"eval_samples_per_second": 3.157,
|
24 |
+
"eval_steps_per_second": 0.197,
|
25 |
+
"step": 50
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0,
|
29 |
+
"learning_rate": 4.201680672268908e-05,
|
30 |
+
"loss": 0.02,
|
31 |
+
"step": 100
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0,
|
35 |
+
"eval_loss": 0.020464899018406868,
|
36 |
+
"eval_mae": 0.10934258252382278,
|
37 |
+
"eval_mse": 0.02046414092183113,
|
38 |
+
"eval_r2": 0.0822418520285656,
|
39 |
+
"eval_runtime": 190.4097,
|
40 |
+
"eval_samples_per_second": 2.101,
|
41 |
+
"eval_steps_per_second": 0.131,
|
42 |
+
"step": 100
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0,
|
46 |
+
"learning_rate": 6.302521008403361e-05,
|
47 |
+
"loss": 0.0196,
|
48 |
+
"step": 150
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0,
|
52 |
+
"eval_loss": 0.02013571746647358,
|
53 |
+
"eval_mae": 0.10845349729061127,
|
54 |
+
"eval_mse": 0.020132917910814285,
|
55 |
+
"eval_r2": 0.09748306648229965,
|
56 |
+
"eval_runtime": 60.1594,
|
57 |
+
"eval_samples_per_second": 6.649,
|
58 |
+
"eval_steps_per_second": 0.416,
|
59 |
+
"step": 150
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0,
|
63 |
+
"learning_rate": 8.403361344537815e-05,
|
64 |
+
"loss": 0.0193,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0,
|
69 |
+
"eval_loss": 0.019823560491204262,
|
70 |
+
"eval_mae": 0.10756562650203705,
|
71 |
+
"eval_mse": 0.019823383539915085,
|
72 |
+
"eval_r2": 0.11099549304277823,
|
73 |
+
"eval_runtime": 162.8488,
|
74 |
+
"eval_samples_per_second": 2.456,
|
75 |
+
"eval_steps_per_second": 0.154,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 1,
|
80 |
+
"learning_rate": 9.999826244478293e-05,
|
81 |
+
"loss": 0.0191,
|
82 |
+
"step": 250
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 1,
|
86 |
+
"eval_loss": 0.019535023719072342,
|
87 |
+
"eval_mae": 0.10683062672615051,
|
88 |
+
"eval_mse": 0.01953577809035778,
|
89 |
+
"eval_r2": 0.12390402334988537,
|
90 |
+
"eval_runtime": 61.7292,
|
91 |
+
"eval_samples_per_second": 6.48,
|
92 |
+
"eval_steps_per_second": 0.405,
|
93 |
+
"step": 250
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1,
|
97 |
+
"learning_rate": 9.995362383107962e-05,
|
98 |
+
"loss": 0.0188,
|
99 |
+
"step": 300
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1,
|
103 |
+
"eval_loss": 0.019223904237151146,
|
104 |
+
"eval_mae": 0.10594414174556732,
|
105 |
+
"eval_mse": 0.019219543784856796,
|
106 |
+
"eval_r2": 0.1355137630125941,
|
107 |
+
"eval_runtime": 62.8456,
|
108 |
+
"eval_samples_per_second": 6.365,
|
109 |
+
"eval_steps_per_second": 0.398,
|
110 |
+
"step": 300
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1,
|
114 |
+
"learning_rate": 9.98487151097676e-05,
|
115 |
+
"loss": 0.0185,
|
116 |
+
"step": 350
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1,
|
120 |
+
"eval_loss": 0.018948782235383987,
|
121 |
+
"eval_mae": 0.10521063953638077,
|
122 |
+
"eval_mse": 0.018949836492538452,
|
123 |
+
"eval_r2": 0.1472992781550666,
|
124 |
+
"eval_runtime": 62.8686,
|
125 |
+
"eval_samples_per_second": 6.362,
|
126 |
+
"eval_steps_per_second": 0.398,
|
127 |
+
"step": 350
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 1,
|
131 |
+
"learning_rate": 9.968366285544619e-05,
|
132 |
+
"loss": 0.0182,
|
133 |
+
"step": 400
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1,
|
137 |
+
"eval_loss": 0.01880819909274578,
|
138 |
+
"eval_mae": 0.10481799393892288,
|
139 |
+
"eval_mse": 0.01880812644958496,
|
140 |
+
"eval_r2": 0.15779620957023455,
|
141 |
+
"eval_runtime": 57.2628,
|
142 |
+
"eval_samples_per_second": 6.985,
|
143 |
+
"eval_steps_per_second": 0.437,
|
144 |
+
"step": 400
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1,
|
148 |
+
"learning_rate": 9.945866620716411e-05,
|
149 |
+
"loss": 0.0181,
|
150 |
+
"step": 450
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1,
|
154 |
+
"eval_loss": 0.018690017983317375,
|
155 |
+
"eval_mae": 0.10444584488868713,
|
156 |
+
"eval_mse": 0.01869109459221363,
|
157 |
+
"eval_r2": 0.16425393659247034,
|
158 |
+
"eval_runtime": 58.6008,
|
159 |
+
"eval_samples_per_second": 6.826,
|
160 |
+
"eval_steps_per_second": 0.427,
|
161 |
+
"step": 450
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 2,
|
165 |
+
"learning_rate": 9.917399662815391e-05,
|
166 |
+
"loss": 0.0179,
|
167 |
+
"step": 500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 2,
|
171 |
+
"eval_loss": 0.018527410924434662,
|
172 |
+
"eval_mae": 0.10401275008916855,
|
173 |
+
"eval_mse": 0.018530065193772316,
|
174 |
+
"eval_r2": 0.16775397819003413,
|
175 |
+
"eval_runtime": 56.6595,
|
176 |
+
"eval_samples_per_second": 7.06,
|
177 |
+
"eval_steps_per_second": 0.441,
|
178 |
+
"step": 500
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2,
|
182 |
+
"learning_rate": 9.882999757830588e-05,
|
183 |
+
"loss": 0.0179,
|
184 |
+
"step": 550
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2,
|
188 |
+
"eval_loss": 0.018433190882205963,
|
189 |
+
"eval_mae": 0.10371904820203781,
|
190 |
+
"eval_mse": 0.018430989235639572,
|
191 |
+
"eval_r2": 0.17258796261060627,
|
192 |
+
"eval_runtime": 61.318,
|
193 |
+
"eval_samples_per_second": 6.523,
|
194 |
+
"eval_steps_per_second": 0.408,
|
195 |
+
"step": 550
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2,
|
199 |
+
"learning_rate": 9.842708409977635e-05,
|
200 |
+
"loss": 0.0178,
|
201 |
+
"step": 600
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2,
|
205 |
+
"eval_loss": 0.018353702500462532,
|
206 |
+
"eval_mae": 0.1034744456410408,
|
207 |
+
"eval_mse": 0.018353240564465523,
|
208 |
+
"eval_r2": 0.17714196201923582,
|
209 |
+
"eval_runtime": 64.7666,
|
210 |
+
"eval_samples_per_second": 6.176,
|
211 |
+
"eval_steps_per_second": 0.386,
|
212 |
+
"step": 600
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2,
|
216 |
+
"learning_rate": 9.796574231623055e-05,
|
217 |
+
"loss": 0.0177,
|
218 |
+
"step": 650
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2,
|
222 |
+
"eval_loss": 0.018298938870429993,
|
223 |
+
"eval_mae": 0.10329218953847885,
|
224 |
+
"eval_mse": 0.01829737052321434,
|
225 |
+
"eval_r2": 0.18098740062966168,
|
226 |
+
"eval_runtime": 58.7251,
|
227 |
+
"eval_samples_per_second": 6.811,
|
228 |
+
"eval_steps_per_second": 0.426,
|
229 |
+
"step": 650
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2,
|
233 |
+
"learning_rate": 9.744652884632406e-05,
|
234 |
+
"loss": 0.0176,
|
235 |
+
"step": 700
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2,
|
239 |
+
"eval_loss": 0.01817883551120758,
|
240 |
+
"eval_mae": 0.10299910604953766,
|
241 |
+
"eval_mse": 0.018180398270487785,
|
242 |
+
"eval_r2": 0.1854382026037652,
|
243 |
+
"eval_runtime": 64.0748,
|
244 |
+
"eval_samples_per_second": 6.243,
|
245 |
+
"eval_steps_per_second": 0.39,
|
246 |
+
"step": 700
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3,
|
250 |
+
"learning_rate": 9.687007013213063e-05,
|
251 |
+
"loss": 0.0175,
|
252 |
+
"step": 750
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 3,
|
256 |
+
"eval_loss": 0.018099399283528328,
|
257 |
+
"eval_mae": 0.10274745523929596,
|
258 |
+
"eval_mse": 0.018099674955010414,
|
259 |
+
"eval_r2": 0.18714389318808033,
|
260 |
+
"eval_runtime": 57.0327,
|
261 |
+
"eval_samples_per_second": 7.014,
|
262 |
+
"eval_steps_per_second": 0.438,
|
263 |
+
"step": 750
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 3,
|
267 |
+
"learning_rate": 9.623706168332645e-05,
|
268 |
+
"loss": 0.0174,
|
269 |
+
"step": 800
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3,
|
273 |
+
"eval_loss": 0.01805899292230606,
|
274 |
+
"eval_mae": 0.1026226207613945,
|
275 |
+
"eval_mse": 0.018060266971588135,
|
276 |
+
"eval_r2": 0.19156849973920198,
|
277 |
+
"eval_runtime": 58.7166,
|
278 |
+
"eval_samples_per_second": 6.812,
|
279 |
+
"eval_steps_per_second": 0.426,
|
280 |
+
"step": 800
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 3,
|
284 |
+
"learning_rate": 9.554826723804303e-05,
|
285 |
+
"loss": 0.0174,
|
286 |
+
"step": 850
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 3,
|
290 |
+
"eval_loss": 0.01803247630596161,
|
291 |
+
"eval_mae": 0.10254286229610443,
|
292 |
+
"eval_mse": 0.018035681918263435,
|
293 |
+
"eval_r2": 0.18969497919656642,
|
294 |
+
"eval_runtime": 60.3899,
|
295 |
+
"eval_samples_per_second": 6.624,
|
296 |
+
"eval_steps_per_second": 0.414,
|
297 |
+
"step": 850
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3,
|
301 |
+
"learning_rate": 9.480451784140091e-05,
|
302 |
+
"loss": 0.0173,
|
303 |
+
"step": 900
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3,
|
307 |
+
"eval_loss": 0.017897402867674828,
|
308 |
+
"eval_mae": 0.1021430492401123,
|
309 |
+
"eval_mse": 0.017896411940455437,
|
310 |
+
"eval_r2": 0.1964586734458611,
|
311 |
+
"eval_runtime": 62.8605,
|
312 |
+
"eval_samples_per_second": 6.363,
|
313 |
+
"eval_steps_per_second": 0.398,
|
314 |
+
"step": 900
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 3,
|
318 |
+
"learning_rate": 9.400671084283607e-05,
|
319 |
+
"loss": 0.0173,
|
320 |
+
"step": 950
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 3,
|
324 |
+
"eval_loss": 0.017886007204651833,
|
325 |
+
"eval_mae": 0.10208527743816376,
|
326 |
+
"eval_mse": 0.01788811758160591,
|
327 |
+
"eval_r2": 0.19957007249531145,
|
328 |
+
"eval_runtime": 60.1438,
|
329 |
+
"eval_samples_per_second": 6.651,
|
330 |
+
"eval_steps_per_second": 0.416,
|
331 |
+
"step": 950
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 4,
|
335 |
+
"learning_rate": 9.315580881342876e-05,
|
336 |
+
"loss": 0.0172,
|
337 |
+
"step": 1000
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 4,
|
341 |
+
"eval_loss": 0.017858153209090233,
|
342 |
+
"eval_mae": 0.10202876478433609,
|
343 |
+
"eval_mse": 0.017859304323792458,
|
344 |
+
"eval_r2": 0.19855005202715592,
|
345 |
+
"eval_runtime": 58.8873,
|
346 |
+
"eval_samples_per_second": 6.793,
|
347 |
+
"eval_steps_per_second": 0.425,
|
348 |
+
"step": 1000
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 4,
|
352 |
+
"learning_rate": 9.225283838454111e-05,
|
353 |
+
"loss": 0.0172,
|
354 |
+
"step": 1050
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 4,
|
358 |
+
"eval_loss": 0.017775438725948334,
|
359 |
+
"eval_mae": 0.10180441290140152,
|
360 |
+
"eval_mse": 0.017775651067495346,
|
361 |
+
"eval_r2": 0.20128072921203966,
|
362 |
+
"eval_runtime": 65.7432,
|
363 |
+
"eval_samples_per_second": 6.084,
|
364 |
+
"eval_steps_per_second": 0.38,
|
365 |
+
"step": 1050
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 4,
|
369 |
+
"learning_rate": 9.129888900916456e-05,
|
370 |
+
"loss": 0.0171,
|
371 |
+
"step": 1100
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 4,
|
375 |
+
"eval_loss": 0.01773221045732498,
|
376 |
+
"eval_mae": 0.10164433717727661,
|
377 |
+
"eval_mse": 0.017730284482240677,
|
378 |
+
"eval_r2": 0.20249305414753993,
|
379 |
+
"eval_runtime": 56.7262,
|
380 |
+
"eval_samples_per_second": 7.051,
|
381 |
+
"eval_steps_per_second": 0.441,
|
382 |
+
"step": 1100
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 4,
|
386 |
+
"learning_rate": 9.029511164747175e-05,
|
387 |
+
"loss": 0.0172,
|
388 |
+
"step": 1150
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 4,
|
392 |
+
"eval_loss": 0.017706887796521187,
|
393 |
+
"eval_mae": 0.10156488418579102,
|
394 |
+
"eval_mse": 0.017707258462905884,
|
395 |
+
"eval_r2": 0.2078045399984002,
|
396 |
+
"eval_runtime": 58.2849,
|
397 |
+
"eval_samples_per_second": 6.863,
|
398 |
+
"eval_steps_per_second": 0.429,
|
399 |
+
"step": 1150
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 5,
|
403 |
+
"learning_rate": 8.924271737815854e-05,
|
404 |
+
"loss": 0.0171,
|
405 |
+
"step": 1200
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 5,
|
409 |
+
"eval_loss": 0.017714276909828186,
|
410 |
+
"eval_mae": 0.10158883035182953,
|
411 |
+
"eval_mse": 0.017715107649564743,
|
412 |
+
"eval_r2": 0.2074889762440164,
|
413 |
+
"eval_runtime": 57.6803,
|
414 |
+
"eval_samples_per_second": 6.935,
|
415 |
+
"eval_steps_per_second": 0.433,
|
416 |
+
"step": 1200
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5,
|
420 |
+
"learning_rate": 8.814297593725199e-05,
|
421 |
+
"loss": 0.0171,
|
422 |
+
"step": 1250
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5,
|
426 |
+
"eval_loss": 0.017648547887802124,
|
427 |
+
"eval_mae": 0.10141555964946747,
|
428 |
+
"eval_mse": 0.017654363065958023,
|
429 |
+
"eval_r2": 0.20722885865364904,
|
430 |
+
"eval_runtime": 64.9526,
|
431 |
+
"eval_samples_per_second": 6.158,
|
432 |
+
"eval_steps_per_second": 0.385,
|
433 |
+
"step": 1250
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 5,
|
437 |
+
"learning_rate": 8.699721418614673e-05,
|
438 |
+
"loss": 0.017,
|
439 |
+
"step": 1300
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 5,
|
443 |
+
"eval_loss": 0.017601532861590385,
|
444 |
+
"eval_mae": 0.10125792026519775,
|
445 |
+
"eval_mse": 0.017598113045096397,
|
446 |
+
"eval_r2": 0.20836808697871778,
|
447 |
+
"eval_runtime": 57.4819,
|
448 |
+
"eval_samples_per_second": 6.959,
|
449 |
+
"eval_steps_per_second": 0.435,
|
450 |
+
"step": 1300
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 5,
|
454 |
+
"learning_rate": 8.580681451071866e-05,
|
455 |
+
"loss": 0.017,
|
456 |
+
"step": 1350
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 5,
|
460 |
+
"eval_loss": 0.017580362036824226,
|
461 |
+
"eval_mae": 0.10121016204357147,
|
462 |
+
"eval_mse": 0.017584411427378654,
|
463 |
+
"eval_r2": 0.21084466622121223,
|
464 |
+
"eval_runtime": 60.2943,
|
465 |
+
"eval_samples_per_second": 6.634,
|
466 |
+
"eval_steps_per_second": 0.415,
|
467 |
+
"step": 1350
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 5,
|
471 |
+
"learning_rate": 8.457321315344694e-05,
|
472 |
+
"loss": 0.017,
|
473 |
+
"step": 1400
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 5,
|
477 |
+
"eval_loss": 0.017519284039735794,
|
478 |
+
"eval_mae": 0.10104001313447952,
|
479 |
+
"eval_mse": 0.01752064935863018,
|
480 |
+
"eval_r2": 0.2120289842294325,
|
481 |
+
"eval_runtime": 60.1697,
|
482 |
+
"eval_samples_per_second": 6.648,
|
483 |
+
"eval_steps_per_second": 0.415,
|
484 |
+
"step": 1400
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 6,
|
488 |
+
"learning_rate": 8.329789848055704e-05,
|
489 |
+
"loss": 0.0168,
|
490 |
+
"step": 1450
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 6,
|
494 |
+
"eval_loss": 0.017550144344568253,
|
495 |
+
"eval_mae": 0.10109207779169083,
|
496 |
+
"eval_mse": 0.017550604417920113,
|
497 |
+
"eval_r2": 0.2133444473175402,
|
498 |
+
"eval_runtime": 61.3969,
|
499 |
+
"eval_samples_per_second": 6.515,
|
500 |
+
"eval_steps_per_second": 0.407,
|
501 |
+
"step": 1450
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 6,
|
505 |
+
"learning_rate": 8.198240918627524e-05,
|
506 |
+
"loss": 0.0169,
|
507 |
+
"step": 1500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 6,
|
511 |
+
"eval_loss": 0.01755845546722412,
|
512 |
+
"eval_mae": 0.10110194236040115,
|
513 |
+
"eval_mse": 0.017556479200720787,
|
514 |
+
"eval_r2": 0.21656763083400632,
|
515 |
+
"eval_runtime": 59.5515,
|
516 |
+
"eval_samples_per_second": 6.717,
|
517 |
+
"eval_steps_per_second": 0.42,
|
518 |
+
"step": 1500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6,
|
522 |
+
"learning_rate": 8.062833243636134e-05,
|
523 |
+
"loss": 0.0169,
|
524 |
+
"step": 1550
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6,
|
528 |
+
"eval_loss": 0.017458565533161163,
|
529 |
+
"eval_mae": 0.10081926733255386,
|
530 |
+
"eval_mse": 0.017458630725741386,
|
531 |
+
"eval_r2": 0.21455437331377625,
|
532 |
+
"eval_runtime": 60.6637,
|
533 |
+
"eval_samples_per_second": 6.594,
|
534 |
+
"eval_steps_per_second": 0.412,
|
535 |
+
"step": 1550
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 6,
|
539 |
+
"learning_rate": 7.923730195315962e-05,
|
540 |
+
"loss": 0.0169,
|
541 |
+
"step": 1600
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 6,
|
545 |
+
"eval_loss": 0.017479494214057922,
|
546 |
+
"eval_mae": 0.10087893158197403,
|
547 |
+
"eval_mse": 0.017478736117482185,
|
548 |
+
"eval_r2": 0.2180120287564331,
|
549 |
+
"eval_runtime": 60.772,
|
550 |
+
"eval_samples_per_second": 6.582,
|
551 |
+
"eval_steps_per_second": 0.411,
|
552 |
+
"step": 1600
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 6,
|
556 |
+
"learning_rate": 7.781099604447794e-05,
|
557 |
+
"loss": 0.0168,
|
558 |
+
"step": 1650
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 6,
|
562 |
+
"eval_loss": 0.01743287593126297,
|
563 |
+
"eval_mae": 0.10074793547391891,
|
564 |
+
"eval_mse": 0.017432522028684616,
|
565 |
+
"eval_r2": 0.2161429733042286,
|
566 |
+
"eval_runtime": 64.79,
|
567 |
+
"eval_samples_per_second": 6.174,
|
568 |
+
"eval_steps_per_second": 0.386,
|
569 |
+
"step": 1650
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 7,
|
573 |
+
"learning_rate": 7.635113557867395e-05,
|
574 |
+
"loss": 0.0169,
|
575 |
+
"step": 1700
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 7,
|
579 |
+
"eval_loss": 0.017418913543224335,
|
580 |
+
"eval_mae": 0.10069431364536285,
|
581 |
+
"eval_mse": 0.01741931587457657,
|
582 |
+
"eval_r2": 0.2169098601070394,
|
583 |
+
"eval_runtime": 60.5486,
|
584 |
+
"eval_samples_per_second": 6.606,
|
585 |
+
"eval_steps_per_second": 0.413,
|
586 |
+
"step": 1700
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 7,
|
590 |
+
"learning_rate": 7.485948190839077e-05,
|
591 |
+
"loss": 0.0168,
|
592 |
+
"step": 1750
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 7,
|
596 |
+
"eval_loss": 0.01736665517091751,
|
597 |
+
"eval_mae": 0.1005297377705574,
|
598 |
+
"eval_mse": 0.01736704632639885,
|
599 |
+
"eval_r2": 0.21929555782464094,
|
600 |
+
"eval_runtime": 58.4317,
|
601 |
+
"eval_samples_per_second": 6.846,
|
602 |
+
"eval_steps_per_second": 0.428,
|
603 |
+
"step": 1750
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 7,
|
607 |
+
"learning_rate": 7.333783474544758e-05,
|
608 |
+
"loss": 0.0168,
|
609 |
+
"step": 1800
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 7,
|
613 |
+
"eval_loss": 0.017343418672680855,
|
614 |
+
"eval_mae": 0.10048038512468338,
|
615 |
+
"eval_mse": 0.017341628670692444,
|
616 |
+
"eval_r2": 0.21864552418706762,
|
617 |
+
"eval_runtime": 60.3965,
|
618 |
+
"eval_samples_per_second": 6.623,
|
619 |
+
"eval_steps_per_second": 0.414,
|
620 |
+
"step": 1800
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 7,
|
624 |
+
"learning_rate": 7.178802998944933e-05,
|
625 |
+
"loss": 0.0166,
|
626 |
+
"step": 1850
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 7,
|
630 |
+
"eval_loss": 0.017404844984412193,
|
631 |
+
"eval_mae": 0.10062351077795029,
|
632 |
+
"eval_mse": 0.017404979094862938,
|
633 |
+
"eval_r2": 0.22093177958560895,
|
634 |
+
"eval_runtime": 56.7185,
|
635 |
+
"eval_samples_per_second": 7.052,
|
636 |
+
"eval_steps_per_second": 0.441,
|
637 |
+
"step": 1850
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 7,
|
641 |
+
"learning_rate": 7.021193751273462e-05,
|
642 |
+
"loss": 0.0167,
|
643 |
+
"step": 1900
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 7,
|
647 |
+
"eval_loss": 0.017301246523857117,
|
648 |
+
"eval_mae": 0.10035215318202972,
|
649 |
+
"eval_mse": 0.017301900312304497,
|
650 |
+
"eval_r2": 0.22134026003758744,
|
651 |
+
"eval_runtime": 57.7642,
|
652 |
+
"eval_samples_per_second": 6.925,
|
653 |
+
"eval_steps_per_second": 0.433,
|
654 |
+
"step": 1900
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 8,
|
658 |
+
"learning_rate": 6.86114589043352e-05,
|
659 |
+
"loss": 0.0167,
|
660 |
+
"step": 1950
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 8,
|
664 |
+
"eval_loss": 0.01728537492454052,
|
665 |
+
"eval_mae": 0.10028935223817825,
|
666 |
+
"eval_mse": 0.017283864319324493,
|
667 |
+
"eval_r2": 0.2218958493073836,
|
668 |
+
"eval_runtime": 61.7673,
|
669 |
+
"eval_samples_per_second": 6.476,
|
670 |
+
"eval_steps_per_second": 0.405,
|
671 |
+
"step": 1950
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 8,
|
675 |
+
"learning_rate": 6.698852517566836e-05,
|
676 |
+
"loss": 0.0167,
|
677 |
+
"step": 2000
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 8,
|
681 |
+
"eval_loss": 0.0173500906676054,
|
682 |
+
"eval_mae": 0.10045037418603897,
|
683 |
+
"eval_mse": 0.017350492998957634,
|
684 |
+
"eval_r2": 0.222062406323153,
|
685 |
+
"eval_runtime": 63.3674,
|
686 |
+
"eval_samples_per_second": 6.312,
|
687 |
+
"eval_steps_per_second": 0.395,
|
688 |
+
"step": 2000
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 8,
|
692 |
+
"learning_rate": 6.534509443073072e-05,
|
693 |
+
"loss": 0.0166,
|
694 |
+
"step": 2050
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 8,
|
698 |
+
"eval_loss": 0.017278773710131645,
|
699 |
+
"eval_mae": 0.10025625675916672,
|
700 |
+
"eval_mse": 0.017278244718909264,
|
701 |
+
"eval_r2": 0.22539687501717476,
|
702 |
+
"eval_runtime": 57.2192,
|
703 |
+
"eval_samples_per_second": 6.991,
|
704 |
+
"eval_steps_per_second": 0.437,
|
705 |
+
"step": 2050
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 8,
|
709 |
+
"learning_rate": 6.368314950360415e-05,
|
710 |
+
"loss": 0.0166,
|
711 |
+
"step": 2100
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 8,
|
715 |
+
"eval_loss": 0.017245473340153694,
|
716 |
+
"eval_mae": 0.10017417371273041,
|
717 |
+
"eval_mse": 0.017246615141630173,
|
718 |
+
"eval_r2": 0.22572849115543347,
|
719 |
+
"eval_runtime": 59.9387,
|
720 |
+
"eval_samples_per_second": 6.673,
|
721 |
+
"eval_steps_per_second": 0.417,
|
722 |
+
"step": 2100
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9,
|
726 |
+
"learning_rate": 6.200469556612435e-05,
|
727 |
+
"loss": 0.0166,
|
728 |
+
"step": 2150
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9,
|
732 |
+
"eval_loss": 0.017270274460315704,
|
733 |
+
"eval_mae": 0.10024827718734741,
|
734 |
+
"eval_mse": 0.017270220443606377,
|
735 |
+
"eval_r2": 0.22628471179764975,
|
736 |
+
"eval_runtime": 63.0094,
|
737 |
+
"eval_samples_per_second": 6.348,
|
738 |
+
"eval_steps_per_second": 0.397,
|
739 |
+
"step": 2150
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 9,
|
743 |
+
"learning_rate": 6.031175770859848e-05,
|
744 |
+
"loss": 0.0166,
|
745 |
+
"step": 2200
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 9,
|
749 |
+
"eval_loss": 0.017215639352798462,
|
750 |
+
"eval_mae": 0.10008691996335983,
|
751 |
+
"eval_mse": 0.017215678468346596,
|
752 |
+
"eval_r2": 0.22768342129753605,
|
753 |
+
"eval_runtime": 65.042,
|
754 |
+
"eval_samples_per_second": 6.15,
|
755 |
+
"eval_steps_per_second": 0.384,
|
756 |
+
"step": 2200
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 9,
|
760 |
+
"learning_rate": 5.8606378496490735e-05,
|
761 |
+
"loss": 0.0166,
|
762 |
+
"step": 2250
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 9,
|
766 |
+
"eval_loss": 0.01721777580678463,
|
767 |
+
"eval_mae": 0.10010144114494324,
|
768 |
+
"eval_mse": 0.017218952998518944,
|
769 |
+
"eval_r2": 0.22907452898565506,
|
770 |
+
"eval_runtime": 65.4931,
|
771 |
+
"eval_samples_per_second": 6.108,
|
772 |
+
"eval_steps_per_second": 0.382,
|
773 |
+
"step": 2250
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 9,
|
777 |
+
"learning_rate": 5.6890615506023705e-05,
|
778 |
+
"loss": 0.0166,
|
779 |
+
"step": 2300
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 9,
|
783 |
+
"eval_loss": 0.017191417515277863,
|
784 |
+
"eval_mae": 0.10001853853464127,
|
785 |
+
"eval_mse": 0.01718985289335251,
|
786 |
+
"eval_r2": 0.2292284056000078,
|
787 |
+
"eval_runtime": 64.9938,
|
788 |
+
"eval_samples_per_second": 6.154,
|
789 |
+
"eval_steps_per_second": 0.385,
|
790 |
+
"step": 2300
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 9,
|
794 |
+
"learning_rate": 5.5166538841669025e-05,
|
795 |
+
"loss": 0.0165,
|
796 |
+
"step": 2350
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 9,
|
800 |
+
"eval_loss": 0.017166707664728165,
|
801 |
+
"eval_mae": 0.09992814064025879,
|
802 |
+
"eval_mse": 0.017164934426546097,
|
803 |
+
"eval_r2": 0.23049413465235846,
|
804 |
+
"eval_runtime": 63.4634,
|
805 |
+
"eval_samples_per_second": 6.303,
|
806 |
+
"eval_steps_per_second": 0.394,
|
807 |
+
"step": 2350
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 10,
|
811 |
+
"learning_rate": 5.343622863852232e-05,
|
812 |
+
"loss": 0.0166,
|
813 |
+
"step": 2400
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 10,
|
817 |
+
"eval_loss": 0.017118161544203758,
|
818 |
+
"eval_mae": 0.0998067557811737,
|
819 |
+
"eval_mse": 0.017116105183959007,
|
820 |
+
"eval_r2": 0.23199928273221992,
|
821 |
+
"eval_runtime": 58.0985,
|
822 |
+
"eval_samples_per_second": 6.885,
|
823 |
+
"eval_steps_per_second": 0.43,
|
824 |
+
"step": 2400
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 10,
|
828 |
+
"learning_rate": 5.170177255257618e-05,
|
829 |
+
"loss": 0.0165,
|
830 |
+
"step": 2450
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 10,
|
834 |
+
"eval_loss": 0.017119385302066803,
|
835 |
+
"eval_mae": 0.09977566450834274,
|
836 |
+
"eval_mse": 0.017119543626904488,
|
837 |
+
"eval_r2": 0.22948023375281368,
|
838 |
+
"eval_runtime": 58.2148,
|
839 |
+
"eval_samples_per_second": 6.871,
|
840 |
+
"eval_steps_per_second": 0.429,
|
841 |
+
"step": 2450
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 10,
|
845 |
+
"learning_rate": 4.996526324191872e-05,
|
846 |
+
"loss": 0.0164,
|
847 |
+
"step": 2500
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 10,
|
851 |
+
"eval_loss": 0.017105862498283386,
|
852 |
+
"eval_mae": 0.09975843131542206,
|
853 |
+
"eval_mse": 0.017107795923948288,
|
854 |
+
"eval_r2": 0.23160311839973746,
|
855 |
+
"eval_runtime": 58.2306,
|
856 |
+
"eval_samples_per_second": 6.869,
|
857 |
+
"eval_steps_per_second": 0.429,
|
858 |
+
"step": 2500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 10,
|
862 |
+
"learning_rate": 4.822879584189731e-05,
|
863 |
+
"loss": 0.0165,
|
864 |
+
"step": 2550
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 10,
|
868 |
+
"eval_loss": 0.017133817076683044,
|
869 |
+
"eval_mae": 0.09982656687498093,
|
870 |
+
"eval_mse": 0.01713182032108307,
|
871 |
+
"eval_r2": 0.23212640913876725,
|
872 |
+
"eval_runtime": 60.6469,
|
873 |
+
"eval_samples_per_second": 6.596,
|
874 |
+
"eval_steps_per_second": 0.412,
|
875 |
+
"step": 2550
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 10,
|
879 |
+
"learning_rate": 4.6494465437293225e-05,
|
880 |
+
"loss": 0.0165,
|
881 |
+
"step": 2600
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 10,
|
885 |
+
"eval_loss": 0.01714298315346241,
|
886 |
+
"eval_mae": 0.0998401865363121,
|
887 |
+
"eval_mse": 0.017137613147497177,
|
888 |
+
"eval_r2": 0.2327516850849627,
|
889 |
+
"eval_runtime": 58.7954,
|
890 |
+
"eval_samples_per_second": 6.803,
|
891 |
+
"eval_steps_per_second": 0.425,
|
892 |
+
"step": 2600
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 11,
|
896 |
+
"learning_rate": 4.476436453455742e-05,
|
897 |
+
"loss": 0.0164,
|
898 |
+
"step": 2650
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 11,
|
902 |
+
"eval_loss": 0.017095215618610382,
|
903 |
+
"eval_mae": 0.09970412403345108,
|
904 |
+
"eval_mse": 0.01709286868572235,
|
905 |
+
"eval_r2": 0.23346266146762296,
|
906 |
+
"eval_runtime": 57.7966,
|
907 |
+
"eval_samples_per_second": 6.921,
|
908 |
+
"eval_steps_per_second": 0.433,
|
909 |
+
"step": 2650
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 11,
|
913 |
+
"learning_rate": 4.3040580537157024e-05,
|
914 |
+
"loss": 0.0165,
|
915 |
+
"step": 2700
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 11,
|
919 |
+
"eval_loss": 0.017114490270614624,
|
920 |
+
"eval_mae": 0.09975600242614746,
|
921 |
+
"eval_mse": 0.01711602509021759,
|
922 |
+
"eval_r2": 0.23458319148513607,
|
923 |
+
"eval_runtime": 60.7105,
|
924 |
+
"eval_samples_per_second": 6.589,
|
925 |
+
"eval_steps_per_second": 0.412,
|
926 |
+
"step": 2700
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 11,
|
930 |
+
"learning_rate": 4.1325193227078816e-05,
|
931 |
+
"loss": 0.0164,
|
932 |
+
"step": 2750
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 11,
|
936 |
+
"eval_loss": 0.01703326217830181,
|
937 |
+
"eval_mae": 0.0995149165391922,
|
938 |
+
"eval_mse": 0.01703346148133278,
|
939 |
+
"eval_r2": 0.23379130521799119,
|
940 |
+
"eval_runtime": 56.541,
|
941 |
+
"eval_samples_per_second": 7.075,
|
942 |
+
"eval_steps_per_second": 0.442,
|
943 |
+
"step": 2750
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 11,
|
947 |
+
"learning_rate": 3.962027225552807e-05,
|
948 |
+
"loss": 0.0165,
|
949 |
+
"step": 2800
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 11,
|
953 |
+
"eval_loss": 0.017094749957323074,
|
954 |
+
"eval_mae": 0.09970033168792725,
|
955 |
+
"eval_mse": 0.017094548791646957,
|
956 |
+
"eval_r2": 0.2349240350955354,
|
957 |
+
"eval_runtime": 65.2081,
|
958 |
+
"eval_samples_per_second": 6.134,
|
959 |
+
"eval_steps_per_second": 0.383,
|
960 |
+
"step": 2800
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 11,
|
964 |
+
"learning_rate": 3.79278746458504e-05,
|
965 |
+
"loss": 0.0164,
|
966 |
+
"step": 2850
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 11,
|
970 |
+
"eval_loss": 0.017008375376462936,
|
971 |
+
"eval_mae": 0.09947662055492401,
|
972 |
+
"eval_mse": 0.01700720377266407,
|
973 |
+
"eval_r2": 0.23690627111999107,
|
974 |
+
"eval_runtime": 57.0201,
|
975 |
+
"eval_samples_per_second": 7.015,
|
976 |
+
"eval_steps_per_second": 0.438,
|
977 |
+
"step": 2850
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 12,
|
981 |
+
"learning_rate": 3.6250042311689505e-05,
|
982 |
+
"loss": 0.0164,
|
983 |
+
"step": 2900
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 12,
|
987 |
+
"eval_loss": 0.01702900230884552,
|
988 |
+
"eval_mae": 0.09952793270349503,
|
989 |
+
"eval_mse": 0.01703030802309513,
|
990 |
+
"eval_r2": 0.23451840328295703,
|
991 |
+
"eval_runtime": 59.8559,
|
992 |
+
"eval_samples_per_second": 6.683,
|
993 |
+
"eval_steps_per_second": 0.418,
|
994 |
+
"step": 2900
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 12,
|
998 |
+
"learning_rate": 3.458879959337494e-05,
|
999 |
+
"loss": 0.0163,
|
1000 |
+
"step": 2950
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 12,
|
1004 |
+
"eval_loss": 0.017079642042517662,
|
1005 |
+
"eval_mae": 0.09966063499450684,
|
1006 |
+
"eval_mse": 0.017079809680581093,
|
1007 |
+
"eval_r2": 0.23587889518099114,
|
1008 |
+
"eval_runtime": 63.9836,
|
1009 |
+
"eval_samples_per_second": 6.252,
|
1010 |
+
"eval_steps_per_second": 0.391,
|
1011 |
+
"step": 2950
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 12,
|
1015 |
+
"learning_rate": 3.294615081551259e-05,
|
1016 |
+
"loss": 0.0164,
|
1017 |
+
"step": 3000
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 12,
|
1021 |
+
"eval_loss": 0.017014725133776665,
|
1022 |
+
"eval_mae": 0.09949040412902832,
|
1023 |
+
"eval_mse": 0.01701604574918747,
|
1024 |
+
"eval_r2": 0.2344194498588299,
|
1025 |
+
"eval_runtime": 64.9206,
|
1026 |
+
"eval_samples_per_second": 6.161,
|
1027 |
+
"eval_steps_per_second": 0.385,
|
1028 |
+
"step": 3000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 12,
|
1032 |
+
"learning_rate": 3.132407786872442e-05,
|
1033 |
+
"loss": 0.0164,
|
1034 |
+
"step": 3050
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 12,
|
1038 |
+
"eval_loss": 0.017031442373991013,
|
1039 |
+
"eval_mae": 0.09950780868530273,
|
1040 |
+
"eval_mse": 0.01702970452606678,
|
1041 |
+
"eval_r2": 0.23397646038139297,
|
1042 |
+
"eval_runtime": 63.2282,
|
1043 |
+
"eval_samples_per_second": 6.326,
|
1044 |
+
"eval_steps_per_second": 0.395,
|
1045 |
+
"step": 3050
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 13,
|
1049 |
+
"learning_rate": 2.9724537818455466e-05,
|
1050 |
+
"loss": 0.0163,
|
1051 |
+
"step": 3100
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 13,
|
1055 |
+
"eval_loss": 0.017020680010318756,
|
1056 |
+
"eval_mae": 0.099485382437706,
|
1057 |
+
"eval_mse": 0.0170209389179945,
|
1058 |
+
"eval_r2": 0.23745581810255922,
|
1059 |
+
"eval_runtime": 57.2248,
|
1060 |
+
"eval_samples_per_second": 6.99,
|
1061 |
+
"eval_steps_per_second": 0.437,
|
1062 |
+
"step": 3100
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 13,
|
1066 |
+
"learning_rate": 2.8149460543732664e-05,
|
1067 |
+
"loss": 0.0164,
|
1068 |
+
"step": 3150
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 13,
|
1072 |
+
"eval_loss": 0.016971083357930183,
|
1073 |
+
"eval_mae": 0.09935550391674042,
|
1074 |
+
"eval_mse": 0.016970161348581314,
|
1075 |
+
"eval_r2": 0.23819887983596166,
|
1076 |
+
"eval_runtime": 58.3514,
|
1077 |
+
"eval_samples_per_second": 6.855,
|
1078 |
+
"eval_steps_per_second": 0.428,
|
1079 |
+
"step": 3150
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 13,
|
1083 |
+
"learning_rate": 2.6600746408725063e-05,
|
1084 |
+
"loss": 0.0163,
|
1085 |
+
"step": 3200
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 13,
|
1089 |
+
"eval_loss": 0.01702103763818741,
|
1090 |
+
"eval_mae": 0.09947419166564941,
|
1091 |
+
"eval_mse": 0.017017606645822525,
|
1092 |
+
"eval_r2": 0.23663776763542477,
|
1093 |
+
"eval_runtime": 65.0546,
|
1094 |
+
"eval_samples_per_second": 6.149,
|
1095 |
+
"eval_steps_per_second": 0.384,
|
1096 |
+
"step": 3200
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 13,
|
1100 |
+
"learning_rate": 2.5080263969913897e-05,
|
1101 |
+
"loss": 0.0163,
|
1102 |
+
"step": 3250
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 13,
|
1106 |
+
"eval_loss": 0.01702267862856388,
|
1107 |
+
"eval_mae": 0.09951028972864151,
|
1108 |
+
"eval_mse": 0.017020724713802338,
|
1109 |
+
"eval_r2": 0.23804915917081026,
|
1110 |
+
"eval_runtime": 63.3322,
|
1111 |
+
"eval_samples_per_second": 6.316,
|
1112 |
+
"eval_steps_per_second": 0.395,
|
1113 |
+
"step": 3250
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 13,
|
1117 |
+
"learning_rate": 2.3589847721639617e-05,
|
1118 |
+
"loss": 0.0164,
|
1119 |
+
"step": 3300
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 13,
|
1123 |
+
"eval_loss": 0.01695895753800869,
|
1124 |
+
"eval_mae": 0.09931185096502304,
|
1125 |
+
"eval_mse": 0.016959920525550842,
|
1126 |
+
"eval_r2": 0.23948235402533236,
|
1127 |
+
"eval_runtime": 62.2021,
|
1128 |
+
"eval_samples_per_second": 6.431,
|
1129 |
+
"eval_steps_per_second": 0.402,
|
1130 |
+
"step": 3300
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 14,
|
1134 |
+
"learning_rate": 2.2131295882745597e-05,
|
1135 |
+
"loss": 0.0163,
|
1136 |
+
"step": 3350
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 14,
|
1140 |
+
"eval_loss": 0.016953853890299797,
|
1141 |
+
"eval_mae": 0.09930908679962158,
|
1142 |
+
"eval_mse": 0.016957899555563927,
|
1143 |
+
"eval_r2": 0.2384040127996312,
|
1144 |
+
"eval_runtime": 59.6825,
|
1145 |
+
"eval_samples_per_second": 6.702,
|
1146 |
+
"eval_steps_per_second": 0.419,
|
1147 |
+
"step": 3350
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 14,
|
1151 |
+
"learning_rate": 2.070636822698877e-05,
|
1152 |
+
"loss": 0.0162,
|
1153 |
+
"step": 3400
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 14,
|
1157 |
+
"eval_loss": 0.016969269141554832,
|
1158 |
+
"eval_mae": 0.09930410981178284,
|
1159 |
+
"eval_mse": 0.016971617937088013,
|
1160 |
+
"eval_r2": 0.23911331324321627,
|
1161 |
+
"eval_runtime": 61.4012,
|
1162 |
+
"eval_samples_per_second": 6.515,
|
1163 |
+
"eval_steps_per_second": 0.407,
|
1164 |
+
"step": 3400
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 14,
|
1168 |
+
"learning_rate": 1.9316783959835345e-05,
|
1169 |
+
"loss": 0.0164,
|
1170 |
+
"step": 3450
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 14,
|
1174 |
+
"eval_loss": 0.01695878989994526,
|
1175 |
+
"eval_mae": 0.09929464012384415,
|
1176 |
+
"eval_mse": 0.016956914216279984,
|
1177 |
+
"eval_r2": 0.23904322049736015,
|
1178 |
+
"eval_runtime": 61.0952,
|
1179 |
+
"eval_samples_per_second": 6.547,
|
1180 |
+
"eval_steps_per_second": 0.409,
|
1181 |
+
"step": 3450
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 14,
|
1185 |
+
"learning_rate": 1.796421964420285e-05,
|
1186 |
+
"loss": 0.0164,
|
1187 |
+
"step": 3500
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 14,
|
1191 |
+
"eval_loss": 0.016925431787967682,
|
1192 |
+
"eval_mae": 0.09921905398368835,
|
1193 |
+
"eval_mse": 0.016928432509303093,
|
1194 |
+
"eval_r2": 0.23861995325924557,
|
1195 |
+
"eval_runtime": 58.2956,
|
1196 |
+
"eval_samples_per_second": 6.862,
|
1197 |
+
"eval_steps_per_second": 0.429,
|
1198 |
+
"step": 3500
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 14,
|
1202 |
+
"learning_rate": 1.665030717765149e-05,
|
1203 |
+
"loss": 0.0163,
|
1204 |
+
"step": 3550
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"epoch": 14,
|
1208 |
+
"eval_loss": 0.016955168917775154,
|
1209 |
+
"eval_mae": 0.09928599745035172,
|
1210 |
+
"eval_mse": 0.016958734020590782,
|
1211 |
+
"eval_r2": 0.24003949016117532,
|
1212 |
+
"eval_runtime": 60.224,
|
1213 |
+
"eval_samples_per_second": 6.642,
|
1214 |
+
"eval_steps_per_second": 0.415,
|
1215 |
+
"step": 3550
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 15,
|
1219 |
+
"learning_rate": 1.5376631823464953e-05,
|
1220 |
+
"loss": 0.0163,
|
1221 |
+
"step": 3600
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 15,
|
1225 |
+
"eval_loss": 0.017045069485902786,
|
1226 |
+
"eval_mae": 0.09952731430530548,
|
1227 |
+
"eval_mse": 0.017046233639121056,
|
1228 |
+
"eval_r2": 0.2409846653602259,
|
1229 |
+
"eval_runtime": 56.9312,
|
1230 |
+
"eval_samples_per_second": 7.026,
|
1231 |
+
"eval_steps_per_second": 0.439,
|
1232 |
+
"step": 3600
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 15,
|
1236 |
+
"learning_rate": 1.4144730297996666e-05,
|
1237 |
+
"loss": 0.0163,
|
1238 |
+
"step": 3650
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 15,
|
1242 |
+
"eval_loss": 0.01690911501646042,
|
1243 |
+
"eval_mae": 0.09913720935583115,
|
1244 |
+
"eval_mse": 0.01690947264432907,
|
1245 |
+
"eval_r2": 0.24005320295619414,
|
1246 |
+
"eval_runtime": 63.4396,
|
1247 |
+
"eval_samples_per_second": 6.305,
|
1248 |
+
"eval_steps_per_second": 0.394,
|
1249 |
+
"step": 3650
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 15,
|
1253 |
+
"learning_rate": 1.295608891658896e-05,
|
1254 |
+
"loss": 0.0163,
|
1255 |
+
"step": 3700
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 15,
|
1259 |
+
"eval_loss": 0.016995713114738464,
|
1260 |
+
"eval_mae": 0.09939228743314743,
|
1261 |
+
"eval_mse": 0.016998106613755226,
|
1262 |
+
"eval_r2": 0.24257331961419693,
|
1263 |
+
"eval_runtime": 58.9315,
|
1264 |
+
"eval_samples_per_second": 6.788,
|
1265 |
+
"eval_steps_per_second": 0.424,
|
1266 |
+
"step": 3700
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 15,
|
1270 |
+
"learning_rate": 1.1812141800301945e-05,
|
1271 |
+
"loss": 0.0163,
|
1272 |
+
"step": 3750
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 15,
|
1276 |
+
"eval_loss": 0.01695888675749302,
|
1277 |
+
"eval_mae": 0.09927807003259659,
|
1278 |
+
"eval_mse": 0.016960280016064644,
|
1279 |
+
"eval_r2": 0.24255255772513262,
|
1280 |
+
"eval_runtime": 58.2565,
|
1281 |
+
"eval_samples_per_second": 6.866,
|
1282 |
+
"eval_steps_per_second": 0.429,
|
1283 |
+
"step": 3750
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 15,
|
1287 |
+
"learning_rate": 1.0714269145616063e-05,
|
1288 |
+
"loss": 0.0163,
|
1289 |
+
"step": 3800
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 15,
|
1293 |
+
"eval_loss": 0.016934260725975037,
|
1294 |
+
"eval_mae": 0.09918724000453949,
|
1295 |
+
"eval_mse": 0.016934024170041084,
|
1296 |
+
"eval_r2": 0.23905501031932674,
|
1297 |
+
"eval_runtime": 59.5916,
|
1298 |
+
"eval_samples_per_second": 6.712,
|
1299 |
+
"eval_steps_per_second": 0.42,
|
1300 |
+
"step": 3800
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 16,
|
1304 |
+
"learning_rate": 9.663795559195733e-06,
|
1305 |
+
"loss": 0.0162,
|
1306 |
+
"step": 3850
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 16,
|
1310 |
+
"eval_loss": 0.016940169036388397,
|
1311 |
+
"eval_mae": 0.09923317283391953,
|
1312 |
+
"eval_mse": 0.016941731795668602,
|
1313 |
+
"eval_r2": 0.2415171870593763,
|
1314 |
+
"eval_runtime": 59.9307,
|
1315 |
+
"eval_samples_per_second": 6.674,
|
1316 |
+
"eval_steps_per_second": 0.417,
|
1317 |
+
"step": 3850
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 16,
|
1321 |
+
"learning_rate": 8.661988459723309e-06,
|
1322 |
+
"loss": 0.0163,
|
1323 |
+
"step": 3900
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 16,
|
1327 |
+
"eval_loss": 0.01686818338930607,
|
1328 |
+
"eval_mae": 0.09902676939964294,
|
1329 |
+
"eval_mse": 0.01686619035899639,
|
1330 |
+
"eval_r2": 0.23881856654464984,
|
1331 |
+
"eval_runtime": 59.939,
|
1332 |
+
"eval_samples_per_second": 6.673,
|
1333 |
+
"eval_steps_per_second": 0.417,
|
1334 |
+
"step": 3900
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 16,
|
1338 |
+
"learning_rate": 7.710056548731447e-06,
|
1339 |
+
"loss": 0.0164,
|
1340 |
+
"step": 3950
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 16,
|
1344 |
+
"eval_loss": 0.01692971959710121,
|
1345 |
+
"eval_mae": 0.09918209910392761,
|
1346 |
+
"eval_mse": 0.01693139225244522,
|
1347 |
+
"eval_r2": 0.24229291180997825,
|
1348 |
+
"eval_runtime": 58.0894,
|
1349 |
+
"eval_samples_per_second": 6.886,
|
1350 |
+
"eval_steps_per_second": 0.43,
|
1351 |
+
"step": 3950
|
1352 |
+
},
|
1353 |
+
{
|
1354 |
+
"epoch": 16,
|
1355 |
+
"learning_rate": 6.809148352279182e-06,
|
1356 |
+
"loss": 0.0163,
|
1357 |
+
"step": 4000
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 16,
|
1361 |
+
"eval_loss": 0.016949491575360298,
|
1362 |
+
"eval_mae": 0.09925098717212677,
|
1363 |
+
"eval_mse": 0.01695188321173191,
|
1364 |
+
"eval_r2": 0.23993232169758605,
|
1365 |
+
"eval_runtime": 61.4621,
|
1366 |
+
"eval_samples_per_second": 6.508,
|
1367 |
+
"eval_steps_per_second": 0.407,
|
1368 |
+
"step": 4000
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 16,
|
1372 |
+
"learning_rate": 5.960350835230766e-06,
|
1373 |
+
"loss": 0.0163,
|
1374 |
+
"step": 4050
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 16,
|
1378 |
+
"eval_loss": 0.016934702172875404,
|
1379 |
+
"eval_mae": 0.09920256584882736,
|
1380 |
+
"eval_mse": 0.016937121748924255,
|
1381 |
+
"eval_r2": 0.2416569624089897,
|
1382 |
+
"eval_runtime": 58.2108,
|
1383 |
+
"eval_samples_per_second": 6.872,
|
1384 |
+
"eval_steps_per_second": 0.429,
|
1385 |
+
"step": 4050
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 17,
|
1389 |
+
"learning_rate": 5.164688089809444e-06,
|
1390 |
+
"loss": 0.0162,
|
1391 |
+
"step": 4100
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 17,
|
1395 |
+
"eval_loss": 0.016918588429689407,
|
1396 |
+
"eval_mae": 0.09915737062692642,
|
1397 |
+
"eval_mse": 0.016918879002332687,
|
1398 |
+
"eval_r2": 0.24260718873499565,
|
1399 |
+
"eval_runtime": 56.8092,
|
1400 |
+
"eval_samples_per_second": 7.041,
|
1401 |
+
"eval_steps_per_second": 0.44,
|
1402 |
+
"step": 4100
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 17,
|
1406 |
+
"learning_rate": 4.423120100008582e-06,
|
1407 |
+
"loss": 0.0163,
|
1408 |
+
"step": 4150
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 17,
|
1412 |
+
"eval_loss": 0.016940301284193993,
|
1413 |
+
"eval_mae": 0.09919126331806183,
|
1414 |
+
"eval_mse": 0.016939815133810043,
|
1415 |
+
"eval_r2": 0.23998661125272824,
|
1416 |
+
"eval_runtime": 59.9186,
|
1417 |
+
"eval_samples_per_second": 6.676,
|
1418 |
+
"eval_steps_per_second": 0.417,
|
1419 |
+
"step": 4150
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 17,
|
1423 |
+
"learning_rate": 3.7365415833504725e-06,
|
1424 |
+
"loss": 0.0162,
|
1425 |
+
"step": 4200
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 17,
|
1429 |
+
"eval_loss": 0.016918940469622612,
|
1430 |
+
"eval_mae": 0.09915791451931,
|
1431 |
+
"eval_mse": 0.016918599605560303,
|
1432 |
+
"eval_r2": 0.23974174795237568,
|
1433 |
+
"eval_runtime": 63.0008,
|
1434 |
+
"eval_samples_per_second": 6.349,
|
1435 |
+
"eval_steps_per_second": 0.397,
|
1436 |
+
"step": 4200
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 17,
|
1440 |
+
"learning_rate": 3.105780911390738e-06,
|
1441 |
+
"loss": 0.0163,
|
1442 |
+
"step": 4250
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 17,
|
1446 |
+
"eval_loss": 0.016923611983656883,
|
1447 |
+
"eval_mae": 0.09916673600673676,
|
1448 |
+
"eval_mse": 0.016924140974879265,
|
1449 |
+
"eval_r2": 0.23963991013957076,
|
1450 |
+
"eval_runtime": 56.3879,
|
1451 |
+
"eval_samples_per_second": 7.094,
|
1452 |
+
"eval_steps_per_second": 0.443,
|
1453 |
+
"step": 4250
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 18,
|
1457 |
+
"learning_rate": 2.5315991102703716e-06,
|
1458 |
+
"loss": 0.0163,
|
1459 |
+
"step": 4300
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 18,
|
1463 |
+
"eval_loss": 0.01691032014787197,
|
1464 |
+
"eval_mae": 0.09915610402822495,
|
1465 |
+
"eval_mse": 0.01691248081624508,
|
1466 |
+
"eval_r2": 0.24413583693173724,
|
1467 |
+
"eval_runtime": 61.6302,
|
1468 |
+
"eval_samples_per_second": 6.49,
|
1469 |
+
"eval_steps_per_second": 0.406,
|
1470 |
+
"step": 4300
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 18,
|
1474 |
+
"learning_rate": 2.0146889425216476e-06,
|
1475 |
+
"loss": 0.0163,
|
1476 |
+
"step": 4350
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 18,
|
1480 |
+
"eval_loss": 0.016894323751330376,
|
1481 |
+
"eval_mae": 0.09909255057573318,
|
1482 |
+
"eval_mse": 0.016893018037080765,
|
1483 |
+
"eval_r2": 0.24154658591740408,
|
1484 |
+
"eval_runtime": 61.7977,
|
1485 |
+
"eval_samples_per_second": 6.473,
|
1486 |
+
"eval_steps_per_second": 0.405,
|
1487 |
+
"step": 4350
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 18,
|
1491 |
+
"learning_rate": 1.555674071235358e-06,
|
1492 |
+
"loss": 0.0163,
|
1493 |
+
"step": 4400
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 18,
|
1497 |
+
"eval_loss": 0.016896896064281464,
|
1498 |
+
"eval_mae": 0.09909563511610031,
|
1499 |
+
"eval_mse": 0.016896726563572884,
|
1500 |
+
"eval_r2": 0.2395997969159448,
|
1501 |
+
"eval_runtime": 63.3638,
|
1502 |
+
"eval_samples_per_second": 6.313,
|
1503 |
+
"eval_steps_per_second": 0.395,
|
1504 |
+
"step": 4400
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 18,
|
1508 |
+
"learning_rate": 1.155108307598024e-06,
|
1509 |
+
"loss": 0.0163,
|
1510 |
+
"step": 4450
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 18,
|
1514 |
+
"eval_loss": 0.016881046816706657,
|
1515 |
+
"eval_mae": 0.09909423440694809,
|
1516 |
+
"eval_mse": 0.016880322247743607,
|
1517 |
+
"eval_r2": 0.2425676493378176,
|
1518 |
+
"eval_runtime": 60.1702,
|
1519 |
+
"eval_samples_per_second": 6.648,
|
1520 |
+
"eval_steps_per_second": 0.415,
|
1521 |
+
"step": 4450
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 18,
|
1525 |
+
"learning_rate": 8.134749427070376e-07,
|
1526 |
+
"loss": 0.0163,
|
1527 |
+
"step": 4500
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 18,
|
1531 |
+
"eval_loss": 0.016920508816838264,
|
1532 |
+
"eval_mae": 0.09913913160562515,
|
1533 |
+
"eval_mse": 0.016919521614909172,
|
1534 |
+
"eval_r2": 0.240687826762218,
|
1535 |
+
"eval_runtime": 56.9763,
|
1536 |
+
"eval_samples_per_second": 7.02,
|
1537 |
+
"eval_steps_per_second": 0.439,
|
1538 |
+
"step": 4500
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 19,
|
1542 |
+
"learning_rate": 5.311861644696048e-07,
|
1543 |
+
"loss": 0.0163,
|
1544 |
+
"step": 4550
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 19,
|
1548 |
+
"eval_loss": 0.016956361010670662,
|
1549 |
+
"eval_mae": 0.09927552938461304,
|
1550 |
+
"eval_mse": 0.016957107931375504,
|
1551 |
+
"eval_r2": 0.23962235723125958,
|
1552 |
+
"eval_runtime": 57.5809,
|
1553 |
+
"eval_samples_per_second": 6.947,
|
1554 |
+
"eval_steps_per_second": 0.434,
|
1555 |
+
"step": 4550
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 19,
|
1559 |
+
"learning_rate": 3.0858256028932776e-07,
|
1560 |
+
"loss": 0.0163,
|
1561 |
+
"step": 4600
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 19,
|
1565 |
+
"eval_loss": 0.016894662752747536,
|
1566 |
+
"eval_mae": 0.09909520298242569,
|
1567 |
+
"eval_mse": 0.016894804313778877,
|
1568 |
+
"eval_r2": 0.24004589904875062,
|
1569 |
+
"eval_runtime": 58.5108,
|
1570 |
+
"eval_samples_per_second": 6.836,
|
1571 |
+
"eval_steps_per_second": 0.427,
|
1572 |
+
"step": 4600
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 19,
|
1576 |
+
"learning_rate": 1.4593270614026154e-07,
|
1577 |
+
"loss": 0.0162,
|
1578 |
+
"step": 4650
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 19,
|
1582 |
+
"eval_loss": 0.016891133040189743,
|
1583 |
+
"eval_mae": 0.09907051920890808,
|
1584 |
+
"eval_mse": 0.016890019178390503,
|
1585 |
+
"eval_r2": 0.24048031726771313,
|
1586 |
+
"eval_runtime": 62.2953,
|
1587 |
+
"eval_samples_per_second": 6.421,
|
1588 |
+
"eval_steps_per_second": 0.401,
|
1589 |
+
"step": 4650
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 19,
|
1593 |
+
"learning_rate": 4.343284252429913e-08,
|
1594 |
+
"loss": 0.0162,
|
1595 |
+
"step": 4700
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 19,
|
1599 |
+
"eval_loss": 0.016868911683559418,
|
1600 |
+
"eval_mae": 0.0990411788225174,
|
1601 |
+
"eval_mse": 0.016869619488716125,
|
1602 |
+
"eval_r2": 0.24109475503821198,
|
1603 |
+
"eval_runtime": 58.3864,
|
1604 |
+
"eval_samples_per_second": 6.851,
|
1605 |
+
"eval_steps_per_second": 0.428,
|
1606 |
+
"step": 4700
|
1607 |
+
}
|
1608 |
+
],
|
1609 |
+
"max_steps": 4760,
|
1610 |
+
"num_train_epochs": 20,
|
1611 |
+
"total_flos": 2.0677241114343014e+20,
|
1612 |
+
"trial_name": null,
|
1613 |
+
"trial_params": null
|
1614 |
+
}
|
vitmae_111M/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca1fa2f0f9f90bc54e3b7413754762700c9f54a48fa5ac4947f41996883090a3
|
3 |
+
size 4600
|
vitmae_650M/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/gpfs/gibbs/pi/dijk/BrainLM_runs/2023-11-15-14_47_00/checkpoint-3300",
|
3 |
+
"architectures": [
|
4 |
+
"ViTMAEForPreTraining"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"decoder_hidden_size": 512,
|
8 |
+
"decoder_intermediate_size": 2048,
|
9 |
+
"decoder_num_attention_heads": 16,
|
10 |
+
"decoder_num_hidden_layers": 8,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.0,
|
13 |
+
"hidden_size": 1280,
|
14 |
+
"image_size": [
|
15 |
+
434,
|
16 |
+
434
|
17 |
+
],
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 5120,
|
20 |
+
"layer_norm_eps": 1e-12,
|
21 |
+
"mask_ratio": 0.75,
|
22 |
+
"model_type": "vit_mae",
|
23 |
+
"norm_pix_loss": false,
|
24 |
+
"num_attention_heads": 16,
|
25 |
+
"num_channels": 3,
|
26 |
+
"num_hidden_layers": 32,
|
27 |
+
"patch_size": 14,
|
28 |
+
"qkv_bias": true,
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.28.0"
|
31 |
+
}
|
vitmae_650M/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8b4c403704b4bf8d800cb5aca85db4fd52a982af0a045c9633f510dd87bc99b2
|
3 |
+
size 5253303842
|
vitmae_650M/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8221b7ad99f5dd42ee1f58cca4824b2904157c9e16ab2cd47cf377e8a90f75a6
|
3 |
+
size 2633576194
|
vitmae_650M/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6ef164f3ddf0ee3f3595bb53948fa8352bf6391c8eb9b01bbd66fed8c46988da
|
3 |
+
size 14244
|
vitmae_650M/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15d60713e239aa461be03135bdbca99b2bfe14ea1d561b3ce05394a2a8b3b9e7
|
3 |
+
size 988
|
vitmae_650M/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5dc1bb0e97fd476b1d9a69ca508d6cd21c01eb4920bd2c8d40259d50b0e95e6f
|
3 |
+
size 1064
|
vitmae_650M/trainer_state.json
ADDED
@@ -0,0 +1,1580 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.016573524102568626,
|
3 |
+
"best_model_checkpoint": "/gpfs/gibbs/pi/dijk/BrainLM_runs/2023-11-17-17_37_00/checkpoint-4400",
|
4 |
+
"epoch": 19.292899505226252,
|
5 |
+
"global_step": 4600,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0,
|
12 |
+
"learning_rate": 2.100840336134454e-05,
|
13 |
+
"loss": 0.0205,
|
14 |
+
"step": 50
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0,
|
18 |
+
"eval_loss": 0.020380878821015358,
|
19 |
+
"eval_mae": 0.10914861410856247,
|
20 |
+
"eval_mse": 0.020377445966005325,
|
21 |
+
"eval_r2": 0.08699230219766863,
|
22 |
+
"eval_runtime": 65.4495,
|
23 |
+
"eval_samples_per_second": 6.112,
|
24 |
+
"eval_steps_per_second": 3.056,
|
25 |
+
"step": 50
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0,
|
29 |
+
"learning_rate": 4.201680672268908e-05,
|
30 |
+
"loss": 0.0195,
|
31 |
+
"step": 100
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0,
|
35 |
+
"eval_loss": 0.01993260346353054,
|
36 |
+
"eval_mae": 0.10798273980617523,
|
37 |
+
"eval_mse": 0.019940046593546867,
|
38 |
+
"eval_r2": 0.10634720488402916,
|
39 |
+
"eval_runtime": 82.6009,
|
40 |
+
"eval_samples_per_second": 4.843,
|
41 |
+
"eval_steps_per_second": 2.421,
|
42 |
+
"step": 100
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0,
|
46 |
+
"learning_rate": 6.302521008403361e-05,
|
47 |
+
"loss": 0.0191,
|
48 |
+
"step": 150
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0,
|
52 |
+
"eval_loss": 0.01966927945613861,
|
53 |
+
"eval_mae": 0.10720709711313248,
|
54 |
+
"eval_mse": 0.019672850146889687,
|
55 |
+
"eval_r2": 0.1188939908583877,
|
56 |
+
"eval_runtime": 273.6405,
|
57 |
+
"eval_samples_per_second": 1.462,
|
58 |
+
"eval_steps_per_second": 0.731,
|
59 |
+
"step": 150
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0,
|
63 |
+
"learning_rate": 8.403361344537815e-05,
|
64 |
+
"loss": 0.0189,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0,
|
69 |
+
"eval_loss": 0.019402366131544113,
|
70 |
+
"eval_mae": 0.10650211572647095,
|
71 |
+
"eval_mse": 0.01940837688744068,
|
72 |
+
"eval_r2": 0.1273264644968536,
|
73 |
+
"eval_runtime": 65.4954,
|
74 |
+
"eval_samples_per_second": 6.107,
|
75 |
+
"eval_steps_per_second": 3.054,
|
76 |
+
"step": 200
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 1,
|
80 |
+
"learning_rate": 9.999826244478293e-05,
|
81 |
+
"loss": 0.0187,
|
82 |
+
"step": 250
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 1,
|
86 |
+
"eval_loss": 0.019103730097413063,
|
87 |
+
"eval_mae": 0.10563357919454575,
|
88 |
+
"eval_mse": 0.01910446584224701,
|
89 |
+
"eval_r2": 0.14288129156056273,
|
90 |
+
"eval_runtime": 67.6226,
|
91 |
+
"eval_samples_per_second": 5.915,
|
92 |
+
"eval_steps_per_second": 2.958,
|
93 |
+
"step": 250
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1,
|
97 |
+
"learning_rate": 9.995362383107962e-05,
|
98 |
+
"loss": 0.0183,
|
99 |
+
"step": 300
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1,
|
103 |
+
"eval_loss": 0.0188433900475502,
|
104 |
+
"eval_mae": 0.1049303263425827,
|
105 |
+
"eval_mse": 0.018846124410629272,
|
106 |
+
"eval_r2": 0.15557466279282905,
|
107 |
+
"eval_runtime": 63.0108,
|
108 |
+
"eval_samples_per_second": 6.348,
|
109 |
+
"eval_steps_per_second": 3.174,
|
110 |
+
"step": 300
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1,
|
114 |
+
"learning_rate": 9.98487151097676e-05,
|
115 |
+
"loss": 0.0181,
|
116 |
+
"step": 350
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1,
|
120 |
+
"eval_loss": 0.018534274771809578,
|
121 |
+
"eval_mae": 0.10398274660110474,
|
122 |
+
"eval_mse": 0.018525807186961174,
|
123 |
+
"eval_r2": 0.16440368152546336,
|
124 |
+
"eval_runtime": 63.6126,
|
125 |
+
"eval_samples_per_second": 6.288,
|
126 |
+
"eval_steps_per_second": 3.144,
|
127 |
+
"step": 350
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 1,
|
131 |
+
"learning_rate": 9.968366285544619e-05,
|
132 |
+
"loss": 0.0179,
|
133 |
+
"step": 400
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1,
|
137 |
+
"eval_loss": 0.01846296340227127,
|
138 |
+
"eval_mae": 0.10383900254964828,
|
139 |
+
"eval_mse": 0.018469005823135376,
|
140 |
+
"eval_r2": 0.17126507792798895,
|
141 |
+
"eval_runtime": 64.4338,
|
142 |
+
"eval_samples_per_second": 6.208,
|
143 |
+
"eval_steps_per_second": 3.104,
|
144 |
+
"step": 400
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1,
|
148 |
+
"learning_rate": 9.945866620716411e-05,
|
149 |
+
"loss": 0.0177,
|
150 |
+
"step": 450
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1,
|
154 |
+
"eval_loss": 0.01835346780717373,
|
155 |
+
"eval_mae": 0.10348159074783325,
|
156 |
+
"eval_mse": 0.018356231972575188,
|
157 |
+
"eval_r2": 0.1812631242910432,
|
158 |
+
"eval_runtime": 63.7952,
|
159 |
+
"eval_samples_per_second": 6.27,
|
160 |
+
"eval_steps_per_second": 3.135,
|
161 |
+
"step": 450
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 2,
|
165 |
+
"learning_rate": 9.917399662815391e-05,
|
166 |
+
"loss": 0.0176,
|
167 |
+
"step": 500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 2,
|
171 |
+
"eval_loss": 0.018152762204408646,
|
172 |
+
"eval_mae": 0.10292253643274307,
|
173 |
+
"eval_mse": 0.018158329650759697,
|
174 |
+
"eval_r2": 0.18455260254083927,
|
175 |
+
"eval_runtime": 62.2123,
|
176 |
+
"eval_samples_per_second": 6.43,
|
177 |
+
"eval_steps_per_second": 3.215,
|
178 |
+
"step": 500
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 2,
|
182 |
+
"learning_rate": 9.882999757830588e-05,
|
183 |
+
"loss": 0.0175,
|
184 |
+
"step": 550
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2,
|
188 |
+
"eval_loss": 0.018096117302775383,
|
189 |
+
"eval_mae": 0.10270749032497406,
|
190 |
+
"eval_mse": 0.01808706857264042,
|
191 |
+
"eval_r2": 0.1878013710016545,
|
192 |
+
"eval_runtime": 62.45,
|
193 |
+
"eval_samples_per_second": 6.405,
|
194 |
+
"eval_steps_per_second": 3.203,
|
195 |
+
"step": 550
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2,
|
199 |
+
"learning_rate": 9.842708409977635e-05,
|
200 |
+
"loss": 0.0174,
|
201 |
+
"step": 600
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 2,
|
205 |
+
"eval_loss": 0.018007792532444,
|
206 |
+
"eval_mae": 0.10250235348939896,
|
207 |
+
"eval_mse": 0.01801513321697712,
|
208 |
+
"eval_r2": 0.19156642781886424,
|
209 |
+
"eval_runtime": 62.617,
|
210 |
+
"eval_samples_per_second": 6.388,
|
211 |
+
"eval_steps_per_second": 3.194,
|
212 |
+
"step": 600
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2,
|
216 |
+
"learning_rate": 9.796574231623055e-05,
|
217 |
+
"loss": 0.0173,
|
218 |
+
"step": 650
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2,
|
222 |
+
"eval_loss": 0.017887134104967117,
|
223 |
+
"eval_mae": 0.10214251279830933,
|
224 |
+
"eval_mse": 0.017883572727441788,
|
225 |
+
"eval_r2": 0.19610529281414957,
|
226 |
+
"eval_runtime": 63.0647,
|
227 |
+
"eval_samples_per_second": 6.343,
|
228 |
+
"eval_steps_per_second": 3.171,
|
229 |
+
"step": 650
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2,
|
233 |
+
"learning_rate": 9.744652884632406e-05,
|
234 |
+
"loss": 0.0173,
|
235 |
+
"step": 700
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2,
|
239 |
+
"eval_loss": 0.017843402922153473,
|
240 |
+
"eval_mae": 0.10201350599527359,
|
241 |
+
"eval_mse": 0.017849572002887726,
|
242 |
+
"eval_r2": 0.20036411183239422,
|
243 |
+
"eval_runtime": 63.1964,
|
244 |
+
"eval_samples_per_second": 6.329,
|
245 |
+
"eval_steps_per_second": 3.165,
|
246 |
+
"step": 700
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3,
|
250 |
+
"learning_rate": 9.687007013213063e-05,
|
251 |
+
"loss": 0.0172,
|
252 |
+
"step": 750
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 3,
|
256 |
+
"eval_loss": 0.017804041504859924,
|
257 |
+
"eval_mae": 0.10189322382211685,
|
258 |
+
"eval_mse": 0.01781976968050003,
|
259 |
+
"eval_r2": 0.20562580407293896,
|
260 |
+
"eval_runtime": 63.7696,
|
261 |
+
"eval_samples_per_second": 6.273,
|
262 |
+
"eval_steps_per_second": 3.136,
|
263 |
+
"step": 750
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 3,
|
267 |
+
"learning_rate": 9.623706168332645e-05,
|
268 |
+
"loss": 0.0171,
|
269 |
+
"step": 800
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 3,
|
273 |
+
"eval_loss": 0.017708342522382736,
|
274 |
+
"eval_mae": 0.10164093226194382,
|
275 |
+
"eval_mse": 0.017712706699967384,
|
276 |
+
"eval_r2": 0.20602592052107038,
|
277 |
+
"eval_runtime": 63.456,
|
278 |
+
"eval_samples_per_second": 6.304,
|
279 |
+
"eval_steps_per_second": 3.152,
|
280 |
+
"step": 800
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 3,
|
284 |
+
"learning_rate": 9.554826723804303e-05,
|
285 |
+
"loss": 0.017,
|
286 |
+
"step": 850
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 3,
|
290 |
+
"eval_loss": 0.017668385058641434,
|
291 |
+
"eval_mae": 0.10145936906337738,
|
292 |
+
"eval_mse": 0.017669973894953728,
|
293 |
+
"eval_r2": 0.20682701060142172,
|
294 |
+
"eval_runtime": 63.5861,
|
295 |
+
"eval_samples_per_second": 6.291,
|
296 |
+
"eval_steps_per_second": 3.145,
|
297 |
+
"step": 850
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 3,
|
301 |
+
"learning_rate": 9.480451784140091e-05,
|
302 |
+
"loss": 0.017,
|
303 |
+
"step": 900
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 3,
|
307 |
+
"eval_loss": 0.017553946003317833,
|
308 |
+
"eval_mae": 0.10114699602127075,
|
309 |
+
"eval_mse": 0.01755087450146675,
|
310 |
+
"eval_r2": 0.2111549450823803,
|
311 |
+
"eval_runtime": 62.7965,
|
312 |
+
"eval_samples_per_second": 6.37,
|
313 |
+
"eval_steps_per_second": 3.185,
|
314 |
+
"step": 900
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 3,
|
318 |
+
"learning_rate": 9.400671084283607e-05,
|
319 |
+
"loss": 0.017,
|
320 |
+
"step": 950
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 3,
|
324 |
+
"eval_loss": 0.017535727471113205,
|
325 |
+
"eval_mae": 0.10109320282936096,
|
326 |
+
"eval_mse": 0.017534563317894936,
|
327 |
+
"eval_r2": 0.21152867082641214,
|
328 |
+
"eval_runtime": 62.081,
|
329 |
+
"eval_samples_per_second": 6.443,
|
330 |
+
"eval_steps_per_second": 3.222,
|
331 |
+
"step": 950
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 4,
|
335 |
+
"learning_rate": 9.315580881342876e-05,
|
336 |
+
"loss": 0.0168,
|
337 |
+
"step": 1000
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 4,
|
341 |
+
"eval_loss": 0.01751740463078022,
|
342 |
+
"eval_mae": 0.10102058947086334,
|
343 |
+
"eval_mse": 0.017521008849143982,
|
344 |
+
"eval_r2": 0.2173146917939317,
|
345 |
+
"eval_runtime": 63.7702,
|
346 |
+
"eval_samples_per_second": 6.273,
|
347 |
+
"eval_steps_per_second": 3.136,
|
348 |
+
"step": 1000
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 4,
|
352 |
+
"learning_rate": 9.225283838454111e-05,
|
353 |
+
"loss": 0.0169,
|
354 |
+
"step": 1050
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 4,
|
358 |
+
"eval_loss": 0.017473317682743073,
|
359 |
+
"eval_mae": 0.1008896455168724,
|
360 |
+
"eval_mse": 0.0174697358161211,
|
361 |
+
"eval_r2": 0.21592913051237428,
|
362 |
+
"eval_runtime": 63.0763,
|
363 |
+
"eval_samples_per_second": 6.342,
|
364 |
+
"eval_steps_per_second": 3.171,
|
365 |
+
"step": 1050
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 4,
|
369 |
+
"learning_rate": 9.129888900916456e-05,
|
370 |
+
"loss": 0.0168,
|
371 |
+
"step": 1100
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 4,
|
375 |
+
"eval_loss": 0.01740197278559208,
|
376 |
+
"eval_mae": 0.10066132992506027,
|
377 |
+
"eval_mse": 0.017395442351698875,
|
378 |
+
"eval_r2": 0.21965390849250066,
|
379 |
+
"eval_runtime": 62.679,
|
380 |
+
"eval_samples_per_second": 6.382,
|
381 |
+
"eval_steps_per_second": 3.191,
|
382 |
+
"step": 1100
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 4,
|
386 |
+
"learning_rate": 9.029511164747175e-05,
|
387 |
+
"loss": 0.0168,
|
388 |
+
"step": 1150
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 4,
|
392 |
+
"eval_loss": 0.01737840846180916,
|
393 |
+
"eval_mae": 0.100642628967762,
|
394 |
+
"eval_mse": 0.01738792657852173,
|
395 |
+
"eval_r2": 0.2177673870807011,
|
396 |
+
"eval_runtime": 63.0635,
|
397 |
+
"eval_samples_per_second": 6.343,
|
398 |
+
"eval_steps_per_second": 3.171,
|
399 |
+
"step": 1150
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 5,
|
403 |
+
"learning_rate": 8.924271737815854e-05,
|
404 |
+
"loss": 0.0167,
|
405 |
+
"step": 1200
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 5,
|
409 |
+
"eval_loss": 0.017356639727950096,
|
410 |
+
"eval_mae": 0.10054408758878708,
|
411 |
+
"eval_mse": 0.01736092008650303,
|
412 |
+
"eval_r2": 0.22268234003478382,
|
413 |
+
"eval_runtime": 62.6903,
|
414 |
+
"eval_samples_per_second": 6.381,
|
415 |
+
"eval_steps_per_second": 3.19,
|
416 |
+
"step": 1200
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 5,
|
420 |
+
"learning_rate": 8.814297593725199e-05,
|
421 |
+
"loss": 0.0167,
|
422 |
+
"step": 1250
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 5,
|
426 |
+
"eval_loss": 0.017370322719216347,
|
427 |
+
"eval_mae": 0.10060014575719833,
|
428 |
+
"eval_mse": 0.017372848466038704,
|
429 |
+
"eval_r2": 0.22218442610232647,
|
430 |
+
"eval_runtime": 62.9578,
|
431 |
+
"eval_samples_per_second": 6.353,
|
432 |
+
"eval_steps_per_second": 3.177,
|
433 |
+
"step": 1250
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 5,
|
437 |
+
"learning_rate": 8.699721418614673e-05,
|
438 |
+
"loss": 0.0167,
|
439 |
+
"step": 1300
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 5,
|
443 |
+
"eval_loss": 0.017255190759897232,
|
444 |
+
"eval_mae": 0.10025202482938766,
|
445 |
+
"eval_mse": 0.0172572061419487,
|
446 |
+
"eval_r2": 0.2245981157395297,
|
447 |
+
"eval_runtime": 62.725,
|
448 |
+
"eval_samples_per_second": 6.377,
|
449 |
+
"eval_steps_per_second": 3.189,
|
450 |
+
"step": 1300
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 5,
|
454 |
+
"learning_rate": 8.580681451071866e-05,
|
455 |
+
"loss": 0.0166,
|
456 |
+
"step": 1350
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 5,
|
460 |
+
"eval_loss": 0.017206793650984764,
|
461 |
+
"eval_mae": 0.10011155903339386,
|
462 |
+
"eval_mse": 0.017209110781550407,
|
463 |
+
"eval_r2": 0.22857719354252215,
|
464 |
+
"eval_runtime": 63.8964,
|
465 |
+
"eval_samples_per_second": 6.26,
|
466 |
+
"eval_steps_per_second": 3.13,
|
467 |
+
"step": 1350
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 5,
|
471 |
+
"learning_rate": 8.457321315344694e-05,
|
472 |
+
"loss": 0.0167,
|
473 |
+
"step": 1400
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 5,
|
477 |
+
"eval_loss": 0.017166156321763992,
|
478 |
+
"eval_mae": 0.10000505298376083,
|
479 |
+
"eval_mse": 0.017173225060105324,
|
480 |
+
"eval_r2": 0.22773855218146166,
|
481 |
+
"eval_runtime": 63.4268,
|
482 |
+
"eval_samples_per_second": 6.306,
|
483 |
+
"eval_steps_per_second": 3.153,
|
484 |
+
"step": 1400
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 6,
|
488 |
+
"learning_rate": 8.329789848055704e-05,
|
489 |
+
"loss": 0.0164,
|
490 |
+
"step": 1450
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 6,
|
494 |
+
"eval_loss": 0.01718437485396862,
|
495 |
+
"eval_mae": 0.10002291202545166,
|
496 |
+
"eval_mse": 0.01718369498848915,
|
497 |
+
"eval_r2": 0.2300388059901679,
|
498 |
+
"eval_runtime": 63.8338,
|
499 |
+
"eval_samples_per_second": 6.266,
|
500 |
+
"eval_steps_per_second": 3.133,
|
501 |
+
"step": 1450
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 6,
|
505 |
+
"learning_rate": 8.198240918627524e-05,
|
506 |
+
"loss": 0.0166,
|
507 |
+
"step": 1500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 6,
|
511 |
+
"eval_loss": 0.017157739028334618,
|
512 |
+
"eval_mae": 0.09996546804904938,
|
513 |
+
"eval_mse": 0.017160937190055847,
|
514 |
+
"eval_r2": 0.23035895673172035,
|
515 |
+
"eval_runtime": 62.0856,
|
516 |
+
"eval_samples_per_second": 6.443,
|
517 |
+
"eval_steps_per_second": 3.221,
|
518 |
+
"step": 1500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 6,
|
522 |
+
"learning_rate": 8.062833243636134e-05,
|
523 |
+
"loss": 0.0165,
|
524 |
+
"step": 1550
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 6,
|
528 |
+
"eval_loss": 0.01712297834455967,
|
529 |
+
"eval_mae": 0.09981416165828705,
|
530 |
+
"eval_mse": 0.017125777900218964,
|
531 |
+
"eval_r2": 0.23338275672251196,
|
532 |
+
"eval_runtime": 62.5642,
|
533 |
+
"eval_samples_per_second": 6.393,
|
534 |
+
"eval_steps_per_second": 3.197,
|
535 |
+
"step": 1550
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 6,
|
539 |
+
"learning_rate": 7.923730195315962e-05,
|
540 |
+
"loss": 0.0165,
|
541 |
+
"step": 1600
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 6,
|
545 |
+
"eval_loss": 0.01711028628051281,
|
546 |
+
"eval_mae": 0.09980826824903488,
|
547 |
+
"eval_mse": 0.01711735874414444,
|
548 |
+
"eval_r2": 0.23415986485617102,
|
549 |
+
"eval_runtime": 63.2895,
|
550 |
+
"eval_samples_per_second": 6.32,
|
551 |
+
"eval_steps_per_second": 3.16,
|
552 |
+
"step": 1600
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 6,
|
556 |
+
"learning_rate": 7.781099604447794e-05,
|
557 |
+
"loss": 0.0164,
|
558 |
+
"step": 1650
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 6,
|
562 |
+
"eval_loss": 0.017070267349481583,
|
563 |
+
"eval_mae": 0.09970243275165558,
|
564 |
+
"eval_mse": 0.01707725040614605,
|
565 |
+
"eval_r2": 0.23408428218933097,
|
566 |
+
"eval_runtime": 62.7311,
|
567 |
+
"eval_samples_per_second": 6.376,
|
568 |
+
"eval_steps_per_second": 3.188,
|
569 |
+
"step": 1650
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 7,
|
573 |
+
"learning_rate": 7.635113557867395e-05,
|
574 |
+
"loss": 0.0165,
|
575 |
+
"step": 1700
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 7,
|
579 |
+
"eval_loss": 0.017109189182519913,
|
580 |
+
"eval_mae": 0.09978970885276794,
|
581 |
+
"eval_mse": 0.017108654603362083,
|
582 |
+
"eval_r2": 0.23454243286934806,
|
583 |
+
"eval_runtime": 63.1248,
|
584 |
+
"eval_samples_per_second": 6.337,
|
585 |
+
"eval_steps_per_second": 3.168,
|
586 |
+
"step": 1700
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 7,
|
590 |
+
"learning_rate": 7.485948190839077e-05,
|
591 |
+
"loss": 0.0164,
|
592 |
+
"step": 1750
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 7,
|
596 |
+
"eval_loss": 0.01705513708293438,
|
597 |
+
"eval_mae": 0.09960421919822693,
|
598 |
+
"eval_mse": 0.017058243975043297,
|
599 |
+
"eval_r2": 0.2349071550024685,
|
600 |
+
"eval_runtime": 62.8704,
|
601 |
+
"eval_samples_per_second": 6.362,
|
602 |
+
"eval_steps_per_second": 3.181,
|
603 |
+
"step": 1750
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 7,
|
607 |
+
"learning_rate": 7.333783474544758e-05,
|
608 |
+
"loss": 0.0165,
|
609 |
+
"step": 1800
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 7,
|
613 |
+
"eval_loss": 0.01703445240855217,
|
614 |
+
"eval_mae": 0.09956526756286621,
|
615 |
+
"eval_mse": 0.017035936936736107,
|
616 |
+
"eval_r2": 0.23700014890629983,
|
617 |
+
"eval_runtime": 62.8756,
|
618 |
+
"eval_samples_per_second": 6.362,
|
619 |
+
"eval_steps_per_second": 3.181,
|
620 |
+
"step": 1800
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 7,
|
624 |
+
"learning_rate": 7.178802998944933e-05,
|
625 |
+
"loss": 0.0163,
|
626 |
+
"step": 1850
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 7,
|
630 |
+
"eval_loss": 0.017014818266034126,
|
631 |
+
"eval_mae": 0.09949322044849396,
|
632 |
+
"eval_mse": 0.01701194979250431,
|
633 |
+
"eval_r2": 0.23927528453479352,
|
634 |
+
"eval_runtime": 62.7426,
|
635 |
+
"eval_samples_per_second": 6.375,
|
636 |
+
"eval_steps_per_second": 3.188,
|
637 |
+
"step": 1850
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 7,
|
641 |
+
"learning_rate": 7.021193751273462e-05,
|
642 |
+
"loss": 0.0163,
|
643 |
+
"step": 1900
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 7,
|
647 |
+
"eval_loss": 0.016955234110355377,
|
648 |
+
"eval_mae": 0.09930498152971268,
|
649 |
+
"eval_mse": 0.01695319451391697,
|
650 |
+
"eval_r2": 0.2370158653005695,
|
651 |
+
"eval_runtime": 63.4621,
|
652 |
+
"eval_samples_per_second": 6.303,
|
653 |
+
"eval_steps_per_second": 3.151,
|
654 |
+
"step": 1900
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 8,
|
658 |
+
"learning_rate": 6.86114589043352e-05,
|
659 |
+
"loss": 0.0163,
|
660 |
+
"step": 1950
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 8,
|
664 |
+
"eval_loss": 0.016957027837634087,
|
665 |
+
"eval_mae": 0.09929080307483673,
|
666 |
+
"eval_mse": 0.016954666003584862,
|
667 |
+
"eval_r2": 0.23837789423341782,
|
668 |
+
"eval_runtime": 63.6096,
|
669 |
+
"eval_samples_per_second": 6.288,
|
670 |
+
"eval_steps_per_second": 3.144,
|
671 |
+
"step": 1950
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 8,
|
675 |
+
"learning_rate": 6.698852517566836e-05,
|
676 |
+
"loss": 0.0163,
|
677 |
+
"step": 2000
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 8,
|
681 |
+
"eval_loss": 0.016924967989325523,
|
682 |
+
"eval_mae": 0.09920791536569595,
|
683 |
+
"eval_mse": 0.016921618953347206,
|
684 |
+
"eval_r2": 0.23921405049323863,
|
685 |
+
"eval_runtime": 62.3232,
|
686 |
+
"eval_samples_per_second": 6.418,
|
687 |
+
"eval_steps_per_second": 3.209,
|
688 |
+
"step": 2000
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 8,
|
692 |
+
"learning_rate": 6.534509443073072e-05,
|
693 |
+
"loss": 0.0163,
|
694 |
+
"step": 2050
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 8,
|
698 |
+
"eval_loss": 0.016955628991127014,
|
699 |
+
"eval_mae": 0.09933258593082428,
|
700 |
+
"eval_mse": 0.01695682480931282,
|
701 |
+
"eval_r2": 0.24050878076217264,
|
702 |
+
"eval_runtime": 62.7525,
|
703 |
+
"eval_samples_per_second": 6.374,
|
704 |
+
"eval_steps_per_second": 3.187,
|
705 |
+
"step": 2050
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 8,
|
709 |
+
"learning_rate": 6.368314950360415e-05,
|
710 |
+
"loss": 0.0163,
|
711 |
+
"step": 2100
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 8,
|
715 |
+
"eval_loss": 0.016915885731577873,
|
716 |
+
"eval_mae": 0.09923145920038223,
|
717 |
+
"eval_mse": 0.01692046783864498,
|
718 |
+
"eval_r2": 0.24116580712888347,
|
719 |
+
"eval_runtime": 62.4103,
|
720 |
+
"eval_samples_per_second": 6.409,
|
721 |
+
"eval_steps_per_second": 3.205,
|
722 |
+
"step": 2100
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 9,
|
726 |
+
"learning_rate": 6.200469556612435e-05,
|
727 |
+
"loss": 0.0163,
|
728 |
+
"step": 2150
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 9,
|
732 |
+
"eval_loss": 0.016883673146367073,
|
733 |
+
"eval_mae": 0.09907432645559311,
|
734 |
+
"eval_mse": 0.016882291063666344,
|
735 |
+
"eval_r2": 0.23994247077801656,
|
736 |
+
"eval_runtime": 63.1914,
|
737 |
+
"eval_samples_per_second": 6.33,
|
738 |
+
"eval_steps_per_second": 3.165,
|
739 |
+
"step": 2150
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 9,
|
743 |
+
"learning_rate": 6.031175770859848e-05,
|
744 |
+
"loss": 0.0163,
|
745 |
+
"step": 2200
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 9,
|
749 |
+
"eval_loss": 0.01691693253815174,
|
750 |
+
"eval_mae": 0.09921909868717194,
|
751 |
+
"eval_mse": 0.01691514253616333,
|
752 |
+
"eval_r2": 0.24448073571582285,
|
753 |
+
"eval_runtime": 63.0869,
|
754 |
+
"eval_samples_per_second": 6.34,
|
755 |
+
"eval_steps_per_second": 3.17,
|
756 |
+
"step": 2200
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 9,
|
760 |
+
"learning_rate": 5.8606378496490735e-05,
|
761 |
+
"loss": 0.0163,
|
762 |
+
"step": 2250
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 9,
|
766 |
+
"eval_loss": 0.01691095158457756,
|
767 |
+
"eval_mae": 0.09917566925287247,
|
768 |
+
"eval_mse": 0.016911856830120087,
|
769 |
+
"eval_r2": 0.24367263560029062,
|
770 |
+
"eval_runtime": 62.6214,
|
771 |
+
"eval_samples_per_second": 6.388,
|
772 |
+
"eval_steps_per_second": 3.194,
|
773 |
+
"step": 2250
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 9,
|
777 |
+
"learning_rate": 5.6890615506023705e-05,
|
778 |
+
"loss": 0.0162,
|
779 |
+
"step": 2300
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 9,
|
783 |
+
"eval_loss": 0.016852255910634995,
|
784 |
+
"eval_mae": 0.09895263612270355,
|
785 |
+
"eval_mse": 0.016846586018800735,
|
786 |
+
"eval_r2": 0.24440525606317043,
|
787 |
+
"eval_runtime": 63.9638,
|
788 |
+
"eval_samples_per_second": 6.254,
|
789 |
+
"eval_steps_per_second": 3.127,
|
790 |
+
"step": 2300
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 9,
|
794 |
+
"learning_rate": 5.5166538841669025e-05,
|
795 |
+
"loss": 0.0161,
|
796 |
+
"step": 2350
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 9,
|
800 |
+
"eval_loss": 0.016831671819090843,
|
801 |
+
"eval_mae": 0.09894772619009018,
|
802 |
+
"eval_mse": 0.01683351770043373,
|
803 |
+
"eval_r2": 0.24440384235611556,
|
804 |
+
"eval_runtime": 63.0545,
|
805 |
+
"eval_samples_per_second": 6.344,
|
806 |
+
"eval_steps_per_second": 3.172,
|
807 |
+
"step": 2350
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 10,
|
811 |
+
"learning_rate": 5.343622863852232e-05,
|
812 |
+
"loss": 0.0163,
|
813 |
+
"step": 2400
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 10,
|
817 |
+
"eval_loss": 0.016827262938022614,
|
818 |
+
"eval_mae": 0.09892594069242477,
|
819 |
+
"eval_mse": 0.01683083176612854,
|
820 |
+
"eval_r2": 0.24909316086739675,
|
821 |
+
"eval_runtime": 62.71,
|
822 |
+
"eval_samples_per_second": 6.379,
|
823 |
+
"eval_steps_per_second": 3.189,
|
824 |
+
"step": 2400
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 10,
|
828 |
+
"learning_rate": 5.170177255257618e-05,
|
829 |
+
"loss": 0.0162,
|
830 |
+
"step": 2450
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 10,
|
834 |
+
"eval_loss": 0.016822684556245804,
|
835 |
+
"eval_mae": 0.09890511631965637,
|
836 |
+
"eval_mse": 0.016828058287501335,
|
837 |
+
"eval_r2": 0.24537013068417224,
|
838 |
+
"eval_runtime": 62.313,
|
839 |
+
"eval_samples_per_second": 6.419,
|
840 |
+
"eval_steps_per_second": 3.21,
|
841 |
+
"step": 2450
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 10,
|
845 |
+
"learning_rate": 4.996526324191872e-05,
|
846 |
+
"loss": 0.0161,
|
847 |
+
"step": 2500
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 10,
|
851 |
+
"eval_loss": 0.016806134954094887,
|
852 |
+
"eval_mae": 0.09885768592357635,
|
853 |
+
"eval_mse": 0.01680225133895874,
|
854 |
+
"eval_r2": 0.24621643781805225,
|
855 |
+
"eval_runtime": 62.9889,
|
856 |
+
"eval_samples_per_second": 6.35,
|
857 |
+
"eval_steps_per_second": 3.175,
|
858 |
+
"step": 2500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 10,
|
862 |
+
"learning_rate": 4.822879584189731e-05,
|
863 |
+
"loss": 0.0162,
|
864 |
+
"step": 2550
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 10,
|
868 |
+
"eval_loss": 0.01680067367851734,
|
869 |
+
"eval_mae": 0.09885375201702118,
|
870 |
+
"eval_mse": 0.01680714637041092,
|
871 |
+
"eval_r2": 0.2480926793721172,
|
872 |
+
"eval_runtime": 62.8794,
|
873 |
+
"eval_samples_per_second": 6.361,
|
874 |
+
"eval_steps_per_second": 3.181,
|
875 |
+
"step": 2550
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 10,
|
879 |
+
"learning_rate": 4.6494465437293225e-05,
|
880 |
+
"loss": 0.0162,
|
881 |
+
"step": 2600
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 10,
|
885 |
+
"eval_loss": 0.01678573526442051,
|
886 |
+
"eval_mae": 0.09876307845115662,
|
887 |
+
"eval_mse": 0.01678406447172165,
|
888 |
+
"eval_r2": 0.24622674800267175,
|
889 |
+
"eval_runtime": 63.1145,
|
890 |
+
"eval_samples_per_second": 6.338,
|
891 |
+
"eval_steps_per_second": 3.169,
|
892 |
+
"step": 2600
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 11,
|
896 |
+
"learning_rate": 4.476436453455742e-05,
|
897 |
+
"loss": 0.0161,
|
898 |
+
"step": 2650
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 11,
|
902 |
+
"eval_loss": 0.016767781227827072,
|
903 |
+
"eval_mae": 0.09874103963375092,
|
904 |
+
"eval_mse": 0.01676834560930729,
|
905 |
+
"eval_r2": 0.24893675048568276,
|
906 |
+
"eval_runtime": 63.6881,
|
907 |
+
"eval_samples_per_second": 6.281,
|
908 |
+
"eval_steps_per_second": 3.14,
|
909 |
+
"step": 2650
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 11,
|
913 |
+
"learning_rate": 4.3040580537157024e-05,
|
914 |
+
"loss": 0.0161,
|
915 |
+
"step": 2700
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 11,
|
919 |
+
"eval_loss": 0.016766654327511787,
|
920 |
+
"eval_mae": 0.0987214520573616,
|
921 |
+
"eval_mse": 0.016764981672167778,
|
922 |
+
"eval_r2": 0.24921689372938038,
|
923 |
+
"eval_runtime": 62.2087,
|
924 |
+
"eval_samples_per_second": 6.43,
|
925 |
+
"eval_steps_per_second": 3.215,
|
926 |
+
"step": 2700
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 11,
|
930 |
+
"learning_rate": 4.1325193227078816e-05,
|
931 |
+
"loss": 0.0161,
|
932 |
+
"step": 2750
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 11,
|
936 |
+
"eval_loss": 0.01673816703259945,
|
937 |
+
"eval_mae": 0.09863594174385071,
|
938 |
+
"eval_mse": 0.01673576422035694,
|
939 |
+
"eval_r2": 0.24761288350255228,
|
940 |
+
"eval_runtime": 62.9694,
|
941 |
+
"eval_samples_per_second": 6.352,
|
942 |
+
"eval_steps_per_second": 3.176,
|
943 |
+
"step": 2750
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 11,
|
947 |
+
"learning_rate": 3.962027225552807e-05,
|
948 |
+
"loss": 0.0162,
|
949 |
+
"step": 2800
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 11,
|
953 |
+
"eval_loss": 0.016739826649427414,
|
954 |
+
"eval_mae": 0.09863518178462982,
|
955 |
+
"eval_mse": 0.016731785610318184,
|
956 |
+
"eval_r2": 0.24922910335616988,
|
957 |
+
"eval_runtime": 62.5788,
|
958 |
+
"eval_samples_per_second": 6.392,
|
959 |
+
"eval_steps_per_second": 3.196,
|
960 |
+
"step": 2800
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 11,
|
964 |
+
"learning_rate": 3.79278746458504e-05,
|
965 |
+
"loss": 0.0161,
|
966 |
+
"step": 2850
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 11,
|
970 |
+
"eval_loss": 0.016736237332224846,
|
971 |
+
"eval_mae": 0.09862860292196274,
|
972 |
+
"eval_mse": 0.016738129779696465,
|
973 |
+
"eval_r2": 0.24936630700011952,
|
974 |
+
"eval_runtime": 63.2169,
|
975 |
+
"eval_samples_per_second": 6.327,
|
976 |
+
"eval_steps_per_second": 3.164,
|
977 |
+
"step": 2850
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 12,
|
981 |
+
"learning_rate": 3.6250042311689505e-05,
|
982 |
+
"loss": 0.0161,
|
983 |
+
"step": 2900
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 12,
|
987 |
+
"eval_loss": 0.016720617190003395,
|
988 |
+
"eval_mae": 0.09856829792261124,
|
989 |
+
"eval_mse": 0.016721663996577263,
|
990 |
+
"eval_r2": 0.24943757367634767,
|
991 |
+
"eval_runtime": 62.9559,
|
992 |
+
"eval_samples_per_second": 6.354,
|
993 |
+
"eval_steps_per_second": 3.177,
|
994 |
+
"step": 2900
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 12,
|
998 |
+
"learning_rate": 3.458879959337494e-05,
|
999 |
+
"loss": 0.016,
|
1000 |
+
"step": 2950
|
1001 |
+
},
|
1002 |
+
{
|
1003 |
+
"epoch": 12,
|
1004 |
+
"eval_loss": 0.01672213524580002,
|
1005 |
+
"eval_mae": 0.0985676720738411,
|
1006 |
+
"eval_mse": 0.016720319166779518,
|
1007 |
+
"eval_r2": 0.24865355220765406,
|
1008 |
+
"eval_runtime": 63.4117,
|
1009 |
+
"eval_samples_per_second": 6.308,
|
1010 |
+
"eval_steps_per_second": 3.154,
|
1011 |
+
"step": 2950
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 12,
|
1015 |
+
"learning_rate": 3.294615081551259e-05,
|
1016 |
+
"loss": 0.0161,
|
1017 |
+
"step": 3000
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 12,
|
1021 |
+
"eval_loss": 0.016707362607121468,
|
1022 |
+
"eval_mae": 0.09850940108299255,
|
1023 |
+
"eval_mse": 0.016702940687537193,
|
1024 |
+
"eval_r2": 0.24840998553438287,
|
1025 |
+
"eval_runtime": 62.8197,
|
1026 |
+
"eval_samples_per_second": 6.367,
|
1027 |
+
"eval_steps_per_second": 3.184,
|
1028 |
+
"step": 3000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 12,
|
1032 |
+
"learning_rate": 3.132407786872442e-05,
|
1033 |
+
"loss": 0.0161,
|
1034 |
+
"step": 3050
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 12,
|
1038 |
+
"eval_loss": 0.01671912521123886,
|
1039 |
+
"eval_mae": 0.09860337525606155,
|
1040 |
+
"eval_mse": 0.016718650236725807,
|
1041 |
+
"eval_r2": 0.2525614324396165,
|
1042 |
+
"eval_runtime": 62.3061,
|
1043 |
+
"eval_samples_per_second": 6.42,
|
1044 |
+
"eval_steps_per_second": 3.21,
|
1045 |
+
"step": 3050
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 13,
|
1049 |
+
"learning_rate": 2.9724537818455466e-05,
|
1050 |
+
"loss": 0.016,
|
1051 |
+
"step": 3100
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 13,
|
1055 |
+
"eval_loss": 0.016661079600453377,
|
1056 |
+
"eval_mae": 0.09843301773071289,
|
1057 |
+
"eval_mse": 0.016662681475281715,
|
1058 |
+
"eval_r2": 0.25208811381954643,
|
1059 |
+
"eval_runtime": 62.656,
|
1060 |
+
"eval_samples_per_second": 6.384,
|
1061 |
+
"eval_steps_per_second": 3.192,
|
1062 |
+
"step": 3100
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 13,
|
1066 |
+
"learning_rate": 2.8149460543732664e-05,
|
1067 |
+
"loss": 0.0161,
|
1068 |
+
"step": 3150
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 13,
|
1072 |
+
"eval_loss": 0.016676336526870728,
|
1073 |
+
"eval_mae": 0.09842842072248459,
|
1074 |
+
"eval_mse": 0.01667998544871807,
|
1075 |
+
"eval_r2": 0.25096189530992574,
|
1076 |
+
"eval_runtime": 61.8687,
|
1077 |
+
"eval_samples_per_second": 6.465,
|
1078 |
+
"eval_steps_per_second": 3.233,
|
1079 |
+
"step": 3150
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 13,
|
1083 |
+
"learning_rate": 2.6600746408725063e-05,
|
1084 |
+
"loss": 0.0161,
|
1085 |
+
"step": 3200
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 13,
|
1089 |
+
"eval_loss": 0.016732489690184593,
|
1090 |
+
"eval_mae": 0.09858258813619614,
|
1091 |
+
"eval_mse": 0.016734851524233818,
|
1092 |
+
"eval_r2": 0.25186837331344525,
|
1093 |
+
"eval_runtime": 62.9675,
|
1094 |
+
"eval_samples_per_second": 6.352,
|
1095 |
+
"eval_steps_per_second": 3.176,
|
1096 |
+
"step": 3200
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 13,
|
1100 |
+
"learning_rate": 2.5080263969913897e-05,
|
1101 |
+
"loss": 0.016,
|
1102 |
+
"step": 3250
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 13,
|
1106 |
+
"eval_loss": 0.016638994216918945,
|
1107 |
+
"eval_mae": 0.09835705161094666,
|
1108 |
+
"eval_mse": 0.016642747446894646,
|
1109 |
+
"eval_r2": 0.25120772331092656,
|
1110 |
+
"eval_runtime": 62.2252,
|
1111 |
+
"eval_samples_per_second": 6.428,
|
1112 |
+
"eval_steps_per_second": 3.214,
|
1113 |
+
"step": 3250
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 13,
|
1117 |
+
"learning_rate": 2.3589847721639617e-05,
|
1118 |
+
"loss": 0.0161,
|
1119 |
+
"step": 3300
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 13,
|
1123 |
+
"eval_loss": 0.01668979413807392,
|
1124 |
+
"eval_mae": 0.09847620874643326,
|
1125 |
+
"eval_mse": 0.016691412776708603,
|
1126 |
+
"eval_r2": 0.2516642585572433,
|
1127 |
+
"eval_runtime": 63.1219,
|
1128 |
+
"eval_samples_per_second": 6.337,
|
1129 |
+
"eval_steps_per_second": 3.168,
|
1130 |
+
"step": 3300
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 14,
|
1134 |
+
"learning_rate": 2.2131295882745597e-05,
|
1135 |
+
"loss": 0.016,
|
1136 |
+
"step": 3350
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 14,
|
1140 |
+
"eval_loss": 0.016662921756505966,
|
1141 |
+
"eval_mae": 0.09842050820589066,
|
1142 |
+
"eval_mse": 0.016670849174261093,
|
1143 |
+
"eval_r2": 0.2505160489332994,
|
1144 |
+
"eval_runtime": 62.776,
|
1145 |
+
"eval_samples_per_second": 6.372,
|
1146 |
+
"eval_steps_per_second": 3.186,
|
1147 |
+
"step": 3350
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 14,
|
1151 |
+
"learning_rate": 2.070636822698877e-05,
|
1152 |
+
"loss": 0.0159,
|
1153 |
+
"step": 3400
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 14,
|
1157 |
+
"eval_loss": 0.01665448024868965,
|
1158 |
+
"eval_mae": 0.09836740046739578,
|
1159 |
+
"eval_mse": 0.016657505184412003,
|
1160 |
+
"eval_r2": 0.25081546773511,
|
1161 |
+
"eval_runtime": 62.5067,
|
1162 |
+
"eval_samples_per_second": 6.399,
|
1163 |
+
"eval_steps_per_second": 3.2,
|
1164 |
+
"step": 3400
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 14,
|
1168 |
+
"learning_rate": 1.9316783959835345e-05,
|
1169 |
+
"loss": 0.016,
|
1170 |
+
"step": 3450
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 14,
|
1174 |
+
"eval_loss": 0.01669839210808277,
|
1175 |
+
"eval_mae": 0.09849409759044647,
|
1176 |
+
"eval_mse": 0.01669597439467907,
|
1177 |
+
"eval_r2": 0.25497888003639246,
|
1178 |
+
"eval_runtime": 63.4933,
|
1179 |
+
"eval_samples_per_second": 6.3,
|
1180 |
+
"eval_steps_per_second": 3.15,
|
1181 |
+
"step": 3450
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 14,
|
1185 |
+
"learning_rate": 1.796421964420285e-05,
|
1186 |
+
"loss": 0.0161,
|
1187 |
+
"step": 3500
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 14,
|
1191 |
+
"eval_loss": 0.01662326790392399,
|
1192 |
+
"eval_mae": 0.0982794538140297,
|
1193 |
+
"eval_mse": 0.016625171527266502,
|
1194 |
+
"eval_r2": 0.2520529598686879,
|
1195 |
+
"eval_runtime": 62.7103,
|
1196 |
+
"eval_samples_per_second": 6.379,
|
1197 |
+
"eval_steps_per_second": 3.189,
|
1198 |
+
"step": 3500
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 14,
|
1202 |
+
"learning_rate": 1.665030717765149e-05,
|
1203 |
+
"loss": 0.016,
|
1204 |
+
"step": 3550
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"epoch": 14,
|
1208 |
+
"eval_loss": 0.016656357795000076,
|
1209 |
+
"eval_mae": 0.09835183620452881,
|
1210 |
+
"eval_mse": 0.016651729121804237,
|
1211 |
+
"eval_r2": 0.2521458867843698,
|
1212 |
+
"eval_runtime": 64.4578,
|
1213 |
+
"eval_samples_per_second": 6.206,
|
1214 |
+
"eval_steps_per_second": 3.103,
|
1215 |
+
"step": 3550
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 15,
|
1219 |
+
"learning_rate": 1.5376631823464953e-05,
|
1220 |
+
"loss": 0.0161,
|
1221 |
+
"step": 3600
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 15,
|
1225 |
+
"eval_loss": 0.01665300317108631,
|
1226 |
+
"eval_mae": 0.09836214780807495,
|
1227 |
+
"eval_mse": 0.01665370911359787,
|
1228 |
+
"eval_r2": 0.25267425736469795,
|
1229 |
+
"eval_runtime": 63.0441,
|
1230 |
+
"eval_samples_per_second": 6.345,
|
1231 |
+
"eval_steps_per_second": 3.172,
|
1232 |
+
"step": 3600
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 15,
|
1236 |
+
"learning_rate": 1.4144730297996666e-05,
|
1237 |
+
"loss": 0.016,
|
1238 |
+
"step": 3650
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 15,
|
1242 |
+
"eval_loss": 0.01662749983370304,
|
1243 |
+
"eval_mae": 0.09827445447444916,
|
1244 |
+
"eval_mse": 0.016627401113510132,
|
1245 |
+
"eval_r2": 0.2526889218862315,
|
1246 |
+
"eval_runtime": 62.6614,
|
1247 |
+
"eval_samples_per_second": 6.384,
|
1248 |
+
"eval_steps_per_second": 3.192,
|
1249 |
+
"step": 3650
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 15,
|
1253 |
+
"learning_rate": 1.295608891658896e-05,
|
1254 |
+
"loss": 0.016,
|
1255 |
+
"step": 3700
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 15,
|
1259 |
+
"eval_loss": 0.016592269763350487,
|
1260 |
+
"eval_mae": 0.09820396453142166,
|
1261 |
+
"eval_mse": 0.0165996253490448,
|
1262 |
+
"eval_r2": 0.25472996642841683,
|
1263 |
+
"eval_runtime": 63.4328,
|
1264 |
+
"eval_samples_per_second": 6.306,
|
1265 |
+
"eval_steps_per_second": 3.153,
|
1266 |
+
"step": 3700
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 15,
|
1270 |
+
"learning_rate": 1.1812141800301945e-05,
|
1271 |
+
"loss": 0.016,
|
1272 |
+
"step": 3750
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 15,
|
1276 |
+
"eval_loss": 0.016636423766613007,
|
1277 |
+
"eval_mae": 0.0983065739274025,
|
1278 |
+
"eval_mse": 0.016633499413728714,
|
1279 |
+
"eval_r2": 0.25374046203309764,
|
1280 |
+
"eval_runtime": 62.8839,
|
1281 |
+
"eval_samples_per_second": 6.361,
|
1282 |
+
"eval_steps_per_second": 3.18,
|
1283 |
+
"step": 3750
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 15,
|
1287 |
+
"learning_rate": 1.0714269145616063e-05,
|
1288 |
+
"loss": 0.0159,
|
1289 |
+
"step": 3800
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 15,
|
1293 |
+
"eval_loss": 0.016631022095680237,
|
1294 |
+
"eval_mae": 0.09828473627567291,
|
1295 |
+
"eval_mse": 0.01662875898182392,
|
1296 |
+
"eval_r2": 0.25143078561422905,
|
1297 |
+
"eval_runtime": 62.4886,
|
1298 |
+
"eval_samples_per_second": 6.401,
|
1299 |
+
"eval_steps_per_second": 3.201,
|
1300 |
+
"step": 3800
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 16,
|
1304 |
+
"learning_rate": 9.663795559195733e-06,
|
1305 |
+
"loss": 0.0159,
|
1306 |
+
"step": 3850
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 16,
|
1310 |
+
"eval_loss": 0.016640575602650642,
|
1311 |
+
"eval_mae": 0.09832051396369934,
|
1312 |
+
"eval_mse": 0.016639817506074905,
|
1313 |
+
"eval_r2": 0.25420519067693936,
|
1314 |
+
"eval_runtime": 63.7918,
|
1315 |
+
"eval_samples_per_second": 6.27,
|
1316 |
+
"eval_steps_per_second": 3.135,
|
1317 |
+
"step": 3850
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 16,
|
1321 |
+
"learning_rate": 8.661988459723309e-06,
|
1322 |
+
"loss": 0.016,
|
1323 |
+
"step": 3900
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 16,
|
1327 |
+
"eval_loss": 0.016633687540888786,
|
1328 |
+
"eval_mae": 0.09830807894468307,
|
1329 |
+
"eval_mse": 0.0166340135037899,
|
1330 |
+
"eval_r2": 0.2559419583101087,
|
1331 |
+
"eval_runtime": 64.9995,
|
1332 |
+
"eval_samples_per_second": 6.154,
|
1333 |
+
"eval_steps_per_second": 3.077,
|
1334 |
+
"step": 3900
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 16,
|
1338 |
+
"learning_rate": 7.710056548731447e-06,
|
1339 |
+
"loss": 0.016,
|
1340 |
+
"step": 3950
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 16,
|
1344 |
+
"eval_loss": 0.01665404625236988,
|
1345 |
+
"eval_mae": 0.09835316985845566,
|
1346 |
+
"eval_mse": 0.01665414310991764,
|
1347 |
+
"eval_r2": 0.25389154611800946,
|
1348 |
+
"eval_runtime": 63.3284,
|
1349 |
+
"eval_samples_per_second": 6.316,
|
1350 |
+
"eval_steps_per_second": 3.158,
|
1351 |
+
"step": 3950
|
1352 |
+
},
|
1353 |
+
{
|
1354 |
+
"epoch": 16,
|
1355 |
+
"learning_rate": 6.809148352279182e-06,
|
1356 |
+
"loss": 0.016,
|
1357 |
+
"step": 4000
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 16,
|
1361 |
+
"eval_loss": 0.016643621027469635,
|
1362 |
+
"eval_mae": 0.09831266850233078,
|
1363 |
+
"eval_mse": 0.0166462492197752,
|
1364 |
+
"eval_r2": 0.253610910132235,
|
1365 |
+
"eval_runtime": 62.8474,
|
1366 |
+
"eval_samples_per_second": 6.365,
|
1367 |
+
"eval_steps_per_second": 3.182,
|
1368 |
+
"step": 4000
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 16,
|
1372 |
+
"learning_rate": 5.960350835230766e-06,
|
1373 |
+
"loss": 0.0159,
|
1374 |
+
"step": 4050
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 16,
|
1378 |
+
"eval_loss": 0.016641885042190552,
|
1379 |
+
"eval_mae": 0.09831728786230087,
|
1380 |
+
"eval_mse": 0.01664014533162117,
|
1381 |
+
"eval_r2": 0.2530172455633002,
|
1382 |
+
"eval_runtime": 62.9766,
|
1383 |
+
"eval_samples_per_second": 6.352,
|
1384 |
+
"eval_steps_per_second": 3.176,
|
1385 |
+
"step": 4050
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 17,
|
1389 |
+
"learning_rate": 5.164688089809444e-06,
|
1390 |
+
"loss": 0.0159,
|
1391 |
+
"step": 4100
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 17,
|
1395 |
+
"eval_loss": 0.016620321199297905,
|
1396 |
+
"eval_mae": 0.09825479984283447,
|
1397 |
+
"eval_mse": 0.016620123758912086,
|
1398 |
+
"eval_r2": 0.2543216647578763,
|
1399 |
+
"eval_runtime": 63.7821,
|
1400 |
+
"eval_samples_per_second": 6.271,
|
1401 |
+
"eval_steps_per_second": 3.136,
|
1402 |
+
"step": 4100
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 17,
|
1406 |
+
"learning_rate": 4.423120100008582e-06,
|
1407 |
+
"loss": 0.016,
|
1408 |
+
"step": 4150
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 17,
|
1412 |
+
"eval_loss": 0.016626114025712013,
|
1413 |
+
"eval_mae": 0.0982520654797554,
|
1414 |
+
"eval_mse": 0.01661662384867668,
|
1415 |
+
"eval_r2": 0.25688829356860643,
|
1416 |
+
"eval_runtime": 63.3768,
|
1417 |
+
"eval_samples_per_second": 6.311,
|
1418 |
+
"eval_steps_per_second": 3.156,
|
1419 |
+
"step": 4150
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 17,
|
1423 |
+
"learning_rate": 3.7365415833504725e-06,
|
1424 |
+
"loss": 0.0159,
|
1425 |
+
"step": 4200
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 17,
|
1429 |
+
"eval_loss": 0.016621023416519165,
|
1430 |
+
"eval_mae": 0.0982469841837883,
|
1431 |
+
"eval_mse": 0.01662403903901577,
|
1432 |
+
"eval_r2": 0.2562592876194061,
|
1433 |
+
"eval_runtime": 63.3616,
|
1434 |
+
"eval_samples_per_second": 6.313,
|
1435 |
+
"eval_steps_per_second": 3.156,
|
1436 |
+
"step": 4200
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 17,
|
1440 |
+
"learning_rate": 3.105780911390738e-06,
|
1441 |
+
"loss": 0.016,
|
1442 |
+
"step": 4250
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 17,
|
1446 |
+
"eval_loss": 0.01661110669374466,
|
1447 |
+
"eval_mae": 0.09821216762065887,
|
1448 |
+
"eval_mse": 0.016603710129857063,
|
1449 |
+
"eval_r2": 0.2534045631002596,
|
1450 |
+
"eval_runtime": 63.6674,
|
1451 |
+
"eval_samples_per_second": 6.283,
|
1452 |
+
"eval_steps_per_second": 3.141,
|
1453 |
+
"step": 4250
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 18,
|
1457 |
+
"learning_rate": 2.5315991102703716e-06,
|
1458 |
+
"loss": 0.016,
|
1459 |
+
"step": 4300
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 18,
|
1463 |
+
"eval_loss": 0.016594773158431053,
|
1464 |
+
"eval_mae": 0.09816820174455643,
|
1465 |
+
"eval_mse": 0.016600053757429123,
|
1466 |
+
"eval_r2": 0.25425809369382535,
|
1467 |
+
"eval_runtime": 63.3127,
|
1468 |
+
"eval_samples_per_second": 6.318,
|
1469 |
+
"eval_steps_per_second": 3.159,
|
1470 |
+
"step": 4300
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 18,
|
1474 |
+
"learning_rate": 2.0146889425216476e-06,
|
1475 |
+
"loss": 0.016,
|
1476 |
+
"step": 4350
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 18,
|
1480 |
+
"eval_loss": 0.016598813235759735,
|
1481 |
+
"eval_mae": 0.09816797077655792,
|
1482 |
+
"eval_mse": 0.016591567546129227,
|
1483 |
+
"eval_r2": 0.2551125072294508,
|
1484 |
+
"eval_runtime": 61.9837,
|
1485 |
+
"eval_samples_per_second": 6.453,
|
1486 |
+
"eval_steps_per_second": 3.227,
|
1487 |
+
"step": 4350
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 18,
|
1491 |
+
"learning_rate": 1.555674071235358e-06,
|
1492 |
+
"loss": 0.0159,
|
1493 |
+
"step": 4400
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 18,
|
1497 |
+
"eval_loss": 0.016573524102568626,
|
1498 |
+
"eval_mae": 0.09814300388097763,
|
1499 |
+
"eval_mse": 0.016571756452322006,
|
1500 |
+
"eval_r2": 0.25463921169715287,
|
1501 |
+
"eval_runtime": 63.1303,
|
1502 |
+
"eval_samples_per_second": 6.336,
|
1503 |
+
"eval_steps_per_second": 3.168,
|
1504 |
+
"step": 4400
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 18,
|
1508 |
+
"learning_rate": 1.155108307598024e-06,
|
1509 |
+
"loss": 0.016,
|
1510 |
+
"step": 4450
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 18,
|
1514 |
+
"eval_loss": 0.016580162569880486,
|
1515 |
+
"eval_mae": 0.09815159440040588,
|
1516 |
+
"eval_mse": 0.01658167876303196,
|
1517 |
+
"eval_r2": 0.25566179703610914,
|
1518 |
+
"eval_runtime": 63.3862,
|
1519 |
+
"eval_samples_per_second": 6.311,
|
1520 |
+
"eval_steps_per_second": 3.155,
|
1521 |
+
"step": 4450
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 18,
|
1525 |
+
"learning_rate": 8.134749427070376e-07,
|
1526 |
+
"loss": 0.016,
|
1527 |
+
"step": 4500
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 18,
|
1531 |
+
"eval_loss": 0.016592783853411674,
|
1532 |
+
"eval_mae": 0.0981706902384758,
|
1533 |
+
"eval_mse": 0.016597216948866844,
|
1534 |
+
"eval_r2": 0.25482598937850753,
|
1535 |
+
"eval_runtime": 63.3827,
|
1536 |
+
"eval_samples_per_second": 6.311,
|
1537 |
+
"eval_steps_per_second": 3.155,
|
1538 |
+
"step": 4500
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 19,
|
1542 |
+
"learning_rate": 5.311861644696048e-07,
|
1543 |
+
"loss": 0.0159,
|
1544 |
+
"step": 4550
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 19,
|
1548 |
+
"eval_loss": 0.01663564145565033,
|
1549 |
+
"eval_mae": 0.09826894104480743,
|
1550 |
+
"eval_mse": 0.0166276004165411,
|
1551 |
+
"eval_r2": 0.2547617221900892,
|
1552 |
+
"eval_runtime": 62.9726,
|
1553 |
+
"eval_samples_per_second": 6.352,
|
1554 |
+
"eval_steps_per_second": 3.176,
|
1555 |
+
"step": 4550
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 19,
|
1559 |
+
"learning_rate": 3.0858256028932776e-07,
|
1560 |
+
"loss": 0.016,
|
1561 |
+
"step": 4600
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 19,
|
1565 |
+
"eval_loss": 0.016616160050034523,
|
1566 |
+
"eval_mae": 0.09824874997138977,
|
1567 |
+
"eval_mse": 0.016616739332675934,
|
1568 |
+
"eval_r2": 0.2550670819722727,
|
1569 |
+
"eval_runtime": 62.541,
|
1570 |
+
"eval_samples_per_second": 6.396,
|
1571 |
+
"eval_steps_per_second": 3.198,
|
1572 |
+
"step": 4600
|
1573 |
+
}
|
1574 |
+
],
|
1575 |
+
"max_steps": 4760,
|
1576 |
+
"num_train_epochs": 20,
|
1577 |
+
"total_flos": 1.1833548390119886e+21,
|
1578 |
+
"trial_name": null,
|
1579 |
+
"trial_params": null
|
1580 |
+
}
|
vitmae_650M/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dabe900a5dac07f1090e31642262ba5bfd2e2d8732a1bd9d8dc5569c5c5ad991
|
3 |
+
size 4600
|