Commit
•
a1ed873
1
Parent(s):
031d612
add model
Browse files- .gitignore +1 -0
- README.md +77 -0
- all_results.json +12 -0
- config.json +30 -0
- emissions.csv +2 -0
- eval_results.json +8 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/1630414853.6690447/events.out.tfevents.1630414853.nate-gpu-2.17369.1 +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630414853.nate-gpu-2.17369.0 +3 -0
- runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630415719.nate-gpu-2.17369.2 +3 -0
- train_results.json +7 -0
- trainer_state.json +1000 -0
- training_args.bin +3 -0
.gitignore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
checkpoint-*/
|
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- cats_vs_dogs
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: vit-base-cats-vs-dogs
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Image Classification
|
| 14 |
+
type: image-classification
|
| 15 |
+
dataset:
|
| 16 |
+
name: cats_vs_dogs
|
| 17 |
+
type: cats_vs_dogs
|
| 18 |
+
args: default
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Accuracy
|
| 21 |
+
type: accuracy
|
| 22 |
+
value: 0.9934510250569476
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 26 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 27 |
+
|
| 28 |
+
# vit-base-cats-vs-dogs
|
| 29 |
+
|
| 30 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cats_vs_dogs dataset.
|
| 31 |
+
It achieves the following results on the evaluation set:
|
| 32 |
+
- Loss: 0.0202
|
| 33 |
+
- Accuracy: 0.9935
|
| 34 |
+
|
| 35 |
+
## Model description
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Intended uses & limitations
|
| 40 |
+
|
| 41 |
+
More information needed
|
| 42 |
+
|
| 43 |
+
## Training and evaluation data
|
| 44 |
+
|
| 45 |
+
More information needed
|
| 46 |
+
|
| 47 |
+
## Training procedure
|
| 48 |
+
|
| 49 |
+
### Training hyperparameters
|
| 50 |
+
|
| 51 |
+
The following hyperparameters were used during training:
|
| 52 |
+
- learning_rate: 0.0002
|
| 53 |
+
- train_batch_size: 64
|
| 54 |
+
- eval_batch_size: 64
|
| 55 |
+
- seed: 1337
|
| 56 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 57 |
+
- lr_scheduler_type: linear
|
| 58 |
+
- num_epochs: 5.0
|
| 59 |
+
- mixed_precision_training: Native AMP
|
| 60 |
+
|
| 61 |
+
### Training results
|
| 62 |
+
|
| 63 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 64 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 65 |
+
| 0.064 | 1.0 | 311 | 0.0483 | 0.9849 |
|
| 66 |
+
| 0.0622 | 2.0 | 622 | 0.0275 | 0.9903 |
|
| 67 |
+
| 0.0366 | 3.0 | 933 | 0.0262 | 0.9917 |
|
| 68 |
+
| 0.0294 | 4.0 | 1244 | 0.0219 | 0.9932 |
|
| 69 |
+
| 0.0161 | 5.0 | 1555 | 0.0202 | 0.9935 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.10.0.dev0
|
| 75 |
+
- Pytorch 1.9.0+cu102
|
| 76 |
+
- Datasets 1.11.1.dev0
|
| 77 |
+
- Tokenizers 0.10.3
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9934510250569476,
|
| 4 |
+
"eval_loss": 0.020224373787641525,
|
| 5 |
+
"eval_runtime": 24.2248,
|
| 6 |
+
"eval_samples_per_second": 144.975,
|
| 7 |
+
"eval_steps_per_second": 2.27,
|
| 8 |
+
"train_loss": 0.05366519431784222,
|
| 9 |
+
"train_runtime": 840.8866,
|
| 10 |
+
"train_samples_per_second": 118.316,
|
| 11 |
+
"train_steps_per_second": 1.849
|
| 12 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"finetuning_task": "image-classification",
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "cat",
|
| 13 |
+
"1": "dog"
|
| 14 |
+
},
|
| 15 |
+
"image_size": 224,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 3072,
|
| 18 |
+
"label2id": {
|
| 19 |
+
"cat": "0",
|
| 20 |
+
"dog": "1"
|
| 21 |
+
},
|
| 22 |
+
"layer_norm_eps": 1e-12,
|
| 23 |
+
"model_type": "vit",
|
| 24 |
+
"num_attention_heads": 12,
|
| 25 |
+
"num_channels": 3,
|
| 26 |
+
"num_hidden_layers": 12,
|
| 27 |
+
"patch_size": 16,
|
| 28 |
+
"torch_dtype": "float32",
|
| 29 |
+
"transformers_version": "4.10.0.dev0"
|
| 30 |
+
}
|
emissions.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
|
| 2 |
+
2021-08-31T13:14:54,e7142752-9335-42d7-b19b-2aa53e8d5c5b,codecarbon,840.8924231529236,0.041244092678339624,0.07283081878569597,USA,USA,Iowa,Y,gcp,us-central1
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9934510250569476,
|
| 4 |
+
"eval_loss": 0.020224373787641525,
|
| 5 |
+
"eval_runtime": 24.2248,
|
| 6 |
+
"eval_samples_per_second": 144.975,
|
| 7 |
+
"eval_steps_per_second": 2.27
|
| 8 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_resize": true,
|
| 4 |
+
"feature_extractor_type": "ViTFeatureExtractor",
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_std": [
|
| 11 |
+
0.5,
|
| 12 |
+
0.5,
|
| 13 |
+
0.5
|
| 14 |
+
],
|
| 15 |
+
"resample": 2,
|
| 16 |
+
"size": 224
|
| 17 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:15a4188d7f04735f0c39a4d94e99c60ba526556eb2dc25e9e6227be88774e9a0
|
| 3 |
+
size 343279857
|
runs/Aug31_13-00-45_nate-gpu-2/1630414853.6690447/events.out.tfevents.1630414853.nate-gpu-2.17369.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fc267c67257f299e4719366102a3ba84355c657019d70e39acebe617644f93c
|
| 3 |
+
size 4244
|
runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630414853.nate-gpu-2.17369.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2ac3d67c6580face3442870534fad28c754c924aa1928fb540f4de9f4ff9592
|
| 3 |
+
size 29267
|
runs/Aug31_13-00-45_nate-gpu-2/events.out.tfevents.1630415719.nate-gpu-2.17369.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d846edb8f631193944c931994991ac162dc228b72aa1524d4a5ffa20bb73d940
|
| 3 |
+
size 363
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"train_loss": 0.05366519431784222,
|
| 4 |
+
"train_runtime": 840.8866,
|
| 5 |
+
"train_samples_per_second": 118.316,
|
| 6 |
+
"train_steps_per_second": 1.849
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1000 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.020224373787641525,
|
| 3 |
+
"best_model_checkpoint": "./cats_vs_dogs_outputs/checkpoint-1555",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"global_step": 1555,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.03,
|
| 12 |
+
"learning_rate": 0.00019871382636655948,
|
| 13 |
+
"loss": 0.3131,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.06,
|
| 18 |
+
"learning_rate": 0.00019742765273311899,
|
| 19 |
+
"loss": 0.1692,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.1,
|
| 24 |
+
"learning_rate": 0.00019614147909967846,
|
| 25 |
+
"loss": 0.0963,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.13,
|
| 30 |
+
"learning_rate": 0.00019485530546623796,
|
| 31 |
+
"loss": 0.0968,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.16,
|
| 36 |
+
"learning_rate": 0.00019356913183279743,
|
| 37 |
+
"loss": 0.1045,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.19,
|
| 42 |
+
"learning_rate": 0.00019228295819935694,
|
| 43 |
+
"loss": 0.0935,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.23,
|
| 48 |
+
"learning_rate": 0.0001909967845659164,
|
| 49 |
+
"loss": 0.1173,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.26,
|
| 54 |
+
"learning_rate": 0.00018971061093247588,
|
| 55 |
+
"loss": 0.0906,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.29,
|
| 60 |
+
"learning_rate": 0.00018842443729903539,
|
| 61 |
+
"loss": 0.1101,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.32,
|
| 66 |
+
"learning_rate": 0.00018713826366559486,
|
| 67 |
+
"loss": 0.1224,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.35,
|
| 72 |
+
"learning_rate": 0.00018585209003215436,
|
| 73 |
+
"loss": 0.0655,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.39,
|
| 78 |
+
"learning_rate": 0.00018456591639871384,
|
| 79 |
+
"loss": 0.1049,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.42,
|
| 84 |
+
"learning_rate": 0.0001832797427652733,
|
| 85 |
+
"loss": 0.1104,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.45,
|
| 90 |
+
"learning_rate": 0.0001819935691318328,
|
| 91 |
+
"loss": 0.0567,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.48,
|
| 96 |
+
"learning_rate": 0.00018070739549839229,
|
| 97 |
+
"loss": 0.0609,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.51,
|
| 102 |
+
"learning_rate": 0.0001794212218649518,
|
| 103 |
+
"loss": 0.0684,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.55,
|
| 108 |
+
"learning_rate": 0.00017813504823151126,
|
| 109 |
+
"loss": 0.086,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.58,
|
| 114 |
+
"learning_rate": 0.00017684887459807076,
|
| 115 |
+
"loss": 0.0708,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.61,
|
| 120 |
+
"learning_rate": 0.00017556270096463024,
|
| 121 |
+
"loss": 0.0693,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.64,
|
| 126 |
+
"learning_rate": 0.0001742765273311897,
|
| 127 |
+
"loss": 0.0814,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.68,
|
| 132 |
+
"learning_rate": 0.0001729903536977492,
|
| 133 |
+
"loss": 0.1044,
|
| 134 |
+
"step": 210
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.71,
|
| 138 |
+
"learning_rate": 0.0001717041800643087,
|
| 139 |
+
"loss": 0.0896,
|
| 140 |
+
"step": 220
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.74,
|
| 144 |
+
"learning_rate": 0.0001704180064308682,
|
| 145 |
+
"loss": 0.1199,
|
| 146 |
+
"step": 230
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.77,
|
| 150 |
+
"learning_rate": 0.00016913183279742766,
|
| 151 |
+
"loss": 0.0773,
|
| 152 |
+
"step": 240
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.8,
|
| 156 |
+
"learning_rate": 0.00016784565916398716,
|
| 157 |
+
"loss": 0.0845,
|
| 158 |
+
"step": 250
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.84,
|
| 162 |
+
"learning_rate": 0.00016655948553054664,
|
| 163 |
+
"loss": 0.087,
|
| 164 |
+
"step": 260
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.87,
|
| 168 |
+
"learning_rate": 0.0001652733118971061,
|
| 169 |
+
"loss": 0.0836,
|
| 170 |
+
"step": 270
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.9,
|
| 174 |
+
"learning_rate": 0.0001639871382636656,
|
| 175 |
+
"loss": 0.0781,
|
| 176 |
+
"step": 280
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.93,
|
| 180 |
+
"learning_rate": 0.0001627009646302251,
|
| 181 |
+
"loss": 0.0764,
|
| 182 |
+
"step": 290
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.96,
|
| 186 |
+
"learning_rate": 0.0001614147909967846,
|
| 187 |
+
"loss": 0.0576,
|
| 188 |
+
"step": 300
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 1.0,
|
| 192 |
+
"learning_rate": 0.00016012861736334406,
|
| 193 |
+
"loss": 0.064,
|
| 194 |
+
"step": 310
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 1.0,
|
| 198 |
+
"eval_accuracy": 0.9849088838268792,
|
| 199 |
+
"eval_loss": 0.048329003155231476,
|
| 200 |
+
"eval_runtime": 24.3841,
|
| 201 |
+
"eval_samples_per_second": 144.028,
|
| 202 |
+
"eval_steps_per_second": 2.256,
|
| 203 |
+
"step": 311
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.03,
|
| 207 |
+
"learning_rate": 0.00015884244372990354,
|
| 208 |
+
"loss": 0.0519,
|
| 209 |
+
"step": 320
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.06,
|
| 213 |
+
"learning_rate": 0.00015755627009646304,
|
| 214 |
+
"loss": 0.0666,
|
| 215 |
+
"step": 330
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.09,
|
| 219 |
+
"learning_rate": 0.0001562700964630225,
|
| 220 |
+
"loss": 0.0706,
|
| 221 |
+
"step": 340
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.13,
|
| 225 |
+
"learning_rate": 0.00015498392282958201,
|
| 226 |
+
"loss": 0.0632,
|
| 227 |
+
"step": 350
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.16,
|
| 231 |
+
"learning_rate": 0.0001536977491961415,
|
| 232 |
+
"loss": 0.0836,
|
| 233 |
+
"step": 360
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.19,
|
| 237 |
+
"learning_rate": 0.000152411575562701,
|
| 238 |
+
"loss": 0.0873,
|
| 239 |
+
"step": 370
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.22,
|
| 243 |
+
"learning_rate": 0.00015112540192926046,
|
| 244 |
+
"loss": 0.0711,
|
| 245 |
+
"step": 380
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 1.25,
|
| 249 |
+
"learning_rate": 0.00014983922829581994,
|
| 250 |
+
"loss": 0.0694,
|
| 251 |
+
"step": 390
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 1.29,
|
| 255 |
+
"learning_rate": 0.00014855305466237944,
|
| 256 |
+
"loss": 0.0803,
|
| 257 |
+
"step": 400
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.32,
|
| 261 |
+
"learning_rate": 0.00014726688102893891,
|
| 262 |
+
"loss": 0.0544,
|
| 263 |
+
"step": 410
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.35,
|
| 267 |
+
"learning_rate": 0.00014598070739549841,
|
| 268 |
+
"loss": 0.0673,
|
| 269 |
+
"step": 420
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.38,
|
| 273 |
+
"learning_rate": 0.0001446945337620579,
|
| 274 |
+
"loss": 0.0751,
|
| 275 |
+
"step": 430
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.41,
|
| 279 |
+
"learning_rate": 0.0001434083601286174,
|
| 280 |
+
"loss": 0.0567,
|
| 281 |
+
"step": 440
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 1.45,
|
| 285 |
+
"learning_rate": 0.00014212218649517686,
|
| 286 |
+
"loss": 0.044,
|
| 287 |
+
"step": 450
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 1.48,
|
| 291 |
+
"learning_rate": 0.00014083601286173634,
|
| 292 |
+
"loss": 0.0577,
|
| 293 |
+
"step": 460
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 1.51,
|
| 297 |
+
"learning_rate": 0.00013954983922829584,
|
| 298 |
+
"loss": 0.0451,
|
| 299 |
+
"step": 470
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.54,
|
| 303 |
+
"learning_rate": 0.00013826366559485531,
|
| 304 |
+
"loss": 0.0803,
|
| 305 |
+
"step": 480
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 1.58,
|
| 309 |
+
"learning_rate": 0.00013697749196141482,
|
| 310 |
+
"loss": 0.0481,
|
| 311 |
+
"step": 490
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.61,
|
| 315 |
+
"learning_rate": 0.0001356913183279743,
|
| 316 |
+
"loss": 0.0716,
|
| 317 |
+
"step": 500
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.64,
|
| 321 |
+
"learning_rate": 0.00013440514469453376,
|
| 322 |
+
"loss": 0.0568,
|
| 323 |
+
"step": 510
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 1.67,
|
| 327 |
+
"learning_rate": 0.00013311897106109327,
|
| 328 |
+
"loss": 0.0724,
|
| 329 |
+
"step": 520
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 1.7,
|
| 333 |
+
"learning_rate": 0.00013183279742765274,
|
| 334 |
+
"loss": 0.072,
|
| 335 |
+
"step": 530
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 1.74,
|
| 339 |
+
"learning_rate": 0.00013054662379421224,
|
| 340 |
+
"loss": 0.0456,
|
| 341 |
+
"step": 540
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 1.77,
|
| 345 |
+
"learning_rate": 0.00012926045016077172,
|
| 346 |
+
"loss": 0.0548,
|
| 347 |
+
"step": 550
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 1.8,
|
| 351 |
+
"learning_rate": 0.00012797427652733122,
|
| 352 |
+
"loss": 0.0566,
|
| 353 |
+
"step": 560
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.83,
|
| 357 |
+
"learning_rate": 0.0001266881028938907,
|
| 358 |
+
"loss": 0.0665,
|
| 359 |
+
"step": 570
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.86,
|
| 363 |
+
"learning_rate": 0.00012540192926045017,
|
| 364 |
+
"loss": 0.0553,
|
| 365 |
+
"step": 580
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.9,
|
| 369 |
+
"learning_rate": 0.00012411575562700967,
|
| 370 |
+
"loss": 0.058,
|
| 371 |
+
"step": 590
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 1.93,
|
| 375 |
+
"learning_rate": 0.00012282958199356914,
|
| 376 |
+
"loss": 0.0532,
|
| 377 |
+
"step": 600
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.96,
|
| 381 |
+
"learning_rate": 0.00012154340836012863,
|
| 382 |
+
"loss": 0.0381,
|
| 383 |
+
"step": 610
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.99,
|
| 387 |
+
"learning_rate": 0.0001202572347266881,
|
| 388 |
+
"loss": 0.0622,
|
| 389 |
+
"step": 620
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 2.0,
|
| 393 |
+
"eval_accuracy": 0.9903189066059226,
|
| 394 |
+
"eval_loss": 0.027488160878419876,
|
| 395 |
+
"eval_runtime": 24.3864,
|
| 396 |
+
"eval_samples_per_second": 144.015,
|
| 397 |
+
"eval_steps_per_second": 2.255,
|
| 398 |
+
"step": 622
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.03,
|
| 402 |
+
"learning_rate": 0.0001189710610932476,
|
| 403 |
+
"loss": 0.0454,
|
| 404 |
+
"step": 630
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 2.06,
|
| 408 |
+
"learning_rate": 0.00011768488745980708,
|
| 409 |
+
"loss": 0.0383,
|
| 410 |
+
"step": 640
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 2.09,
|
| 414 |
+
"learning_rate": 0.00011639871382636655,
|
| 415 |
+
"loss": 0.0545,
|
| 416 |
+
"step": 650
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 2.12,
|
| 420 |
+
"learning_rate": 0.00011511254019292605,
|
| 421 |
+
"loss": 0.063,
|
| 422 |
+
"step": 660
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.15,
|
| 426 |
+
"learning_rate": 0.00011382636655948553,
|
| 427 |
+
"loss": 0.0717,
|
| 428 |
+
"step": 670
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 2.19,
|
| 432 |
+
"learning_rate": 0.00011254019292604503,
|
| 433 |
+
"loss": 0.0545,
|
| 434 |
+
"step": 680
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 2.22,
|
| 438 |
+
"learning_rate": 0.0001112540192926045,
|
| 439 |
+
"loss": 0.0576,
|
| 440 |
+
"step": 690
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 2.25,
|
| 444 |
+
"learning_rate": 0.00010996784565916398,
|
| 445 |
+
"loss": 0.0656,
|
| 446 |
+
"step": 700
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 2.28,
|
| 450 |
+
"learning_rate": 0.00010868167202572348,
|
| 451 |
+
"loss": 0.0762,
|
| 452 |
+
"step": 710
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.32,
|
| 456 |
+
"learning_rate": 0.00010739549839228295,
|
| 457 |
+
"loss": 0.0555,
|
| 458 |
+
"step": 720
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.35,
|
| 462 |
+
"learning_rate": 0.00010610932475884245,
|
| 463 |
+
"loss": 0.0492,
|
| 464 |
+
"step": 730
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.38,
|
| 468 |
+
"learning_rate": 0.00010482315112540193,
|
| 469 |
+
"loss": 0.042,
|
| 470 |
+
"step": 740
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 2.41,
|
| 474 |
+
"learning_rate": 0.00010353697749196143,
|
| 475 |
+
"loss": 0.0361,
|
| 476 |
+
"step": 750
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.44,
|
| 480 |
+
"learning_rate": 0.0001022508038585209,
|
| 481 |
+
"loss": 0.0522,
|
| 482 |
+
"step": 760
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 2.48,
|
| 486 |
+
"learning_rate": 0.00010096463022508038,
|
| 487 |
+
"loss": 0.0577,
|
| 488 |
+
"step": 770
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.51,
|
| 492 |
+
"learning_rate": 9.967845659163988e-05,
|
| 493 |
+
"loss": 0.0339,
|
| 494 |
+
"step": 780
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.54,
|
| 498 |
+
"learning_rate": 9.839228295819937e-05,
|
| 499 |
+
"loss": 0.0439,
|
| 500 |
+
"step": 790
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 2.57,
|
| 504 |
+
"learning_rate": 9.710610932475884e-05,
|
| 505 |
+
"loss": 0.0422,
|
| 506 |
+
"step": 800
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.6,
|
| 510 |
+
"learning_rate": 9.581993569131833e-05,
|
| 511 |
+
"loss": 0.03,
|
| 512 |
+
"step": 810
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 2.64,
|
| 516 |
+
"learning_rate": 9.453376205787782e-05,
|
| 517 |
+
"loss": 0.0637,
|
| 518 |
+
"step": 820
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 2.67,
|
| 522 |
+
"learning_rate": 9.32475884244373e-05,
|
| 523 |
+
"loss": 0.0629,
|
| 524 |
+
"step": 830
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 2.7,
|
| 528 |
+
"learning_rate": 9.19614147909968e-05,
|
| 529 |
+
"loss": 0.0371,
|
| 530 |
+
"step": 840
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 2.73,
|
| 534 |
+
"learning_rate": 9.067524115755628e-05,
|
| 535 |
+
"loss": 0.0419,
|
| 536 |
+
"step": 850
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.77,
|
| 540 |
+
"learning_rate": 8.938906752411576e-05,
|
| 541 |
+
"loss": 0.0479,
|
| 542 |
+
"step": 860
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 2.8,
|
| 546 |
+
"learning_rate": 8.810289389067524e-05,
|
| 547 |
+
"loss": 0.0392,
|
| 548 |
+
"step": 870
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.83,
|
| 552 |
+
"learning_rate": 8.681672025723473e-05,
|
| 553 |
+
"loss": 0.0383,
|
| 554 |
+
"step": 880
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 2.86,
|
| 558 |
+
"learning_rate": 8.553054662379422e-05,
|
| 559 |
+
"loss": 0.0449,
|
| 560 |
+
"step": 890
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 2.89,
|
| 564 |
+
"learning_rate": 8.42443729903537e-05,
|
| 565 |
+
"loss": 0.0481,
|
| 566 |
+
"step": 900
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 2.93,
|
| 570 |
+
"learning_rate": 8.29581993569132e-05,
|
| 571 |
+
"loss": 0.0292,
|
| 572 |
+
"step": 910
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.96,
|
| 576 |
+
"learning_rate": 8.167202572347268e-05,
|
| 577 |
+
"loss": 0.04,
|
| 578 |
+
"step": 920
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.99,
|
| 582 |
+
"learning_rate": 8.038585209003216e-05,
|
| 583 |
+
"loss": 0.0366,
|
| 584 |
+
"step": 930
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 3.0,
|
| 588 |
+
"eval_accuracy": 0.9917425968109339,
|
| 589 |
+
"eval_loss": 0.026212546974420547,
|
| 590 |
+
"eval_runtime": 24.1897,
|
| 591 |
+
"eval_samples_per_second": 145.186,
|
| 592 |
+
"eval_steps_per_second": 2.274,
|
| 593 |
+
"step": 933
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 3.02,
|
| 597 |
+
"learning_rate": 7.909967845659164e-05,
|
| 598 |
+
"loss": 0.0577,
|
| 599 |
+
"step": 940
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 3.05,
|
| 603 |
+
"learning_rate": 7.781350482315113e-05,
|
| 604 |
+
"loss": 0.049,
|
| 605 |
+
"step": 950
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 3.09,
|
| 609 |
+
"learning_rate": 7.652733118971062e-05,
|
| 610 |
+
"loss": 0.0366,
|
| 611 |
+
"step": 960
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 3.12,
|
| 615 |
+
"learning_rate": 7.524115755627011e-05,
|
| 616 |
+
"loss": 0.0286,
|
| 617 |
+
"step": 970
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 3.15,
|
| 621 |
+
"learning_rate": 7.39549839228296e-05,
|
| 622 |
+
"loss": 0.038,
|
| 623 |
+
"step": 980
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 3.18,
|
| 627 |
+
"learning_rate": 7.266881028938907e-05,
|
| 628 |
+
"loss": 0.0386,
|
| 629 |
+
"step": 990
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 3.22,
|
| 633 |
+
"learning_rate": 7.138263665594856e-05,
|
| 634 |
+
"loss": 0.0287,
|
| 635 |
+
"step": 1000
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 3.25,
|
| 639 |
+
"learning_rate": 7.009646302250804e-05,
|
| 640 |
+
"loss": 0.0284,
|
| 641 |
+
"step": 1010
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 3.28,
|
| 645 |
+
"learning_rate": 6.881028938906753e-05,
|
| 646 |
+
"loss": 0.0267,
|
| 647 |
+
"step": 1020
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 3.31,
|
| 651 |
+
"learning_rate": 6.752411575562702e-05,
|
| 652 |
+
"loss": 0.0305,
|
| 653 |
+
"step": 1030
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 3.34,
|
| 657 |
+
"learning_rate": 6.623794212218651e-05,
|
| 658 |
+
"loss": 0.0438,
|
| 659 |
+
"step": 1040
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 3.38,
|
| 663 |
+
"learning_rate": 6.495176848874598e-05,
|
| 664 |
+
"loss": 0.0265,
|
| 665 |
+
"step": 1050
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 3.41,
|
| 669 |
+
"learning_rate": 6.366559485530547e-05,
|
| 670 |
+
"loss": 0.0346,
|
| 671 |
+
"step": 1060
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 3.44,
|
| 675 |
+
"learning_rate": 6.237942122186496e-05,
|
| 676 |
+
"loss": 0.0468,
|
| 677 |
+
"step": 1070
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 3.47,
|
| 681 |
+
"learning_rate": 6.109324758842445e-05,
|
| 682 |
+
"loss": 0.0343,
|
| 683 |
+
"step": 1080
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 3.5,
|
| 687 |
+
"learning_rate": 5.980707395498393e-05,
|
| 688 |
+
"loss": 0.0664,
|
| 689 |
+
"step": 1090
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 3.54,
|
| 693 |
+
"learning_rate": 5.8520900321543414e-05,
|
| 694 |
+
"loss": 0.0587,
|
| 695 |
+
"step": 1100
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 3.57,
|
| 699 |
+
"learning_rate": 5.72347266881029e-05,
|
| 700 |
+
"loss": 0.0322,
|
| 701 |
+
"step": 1110
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 3.6,
|
| 705 |
+
"learning_rate": 5.5948553054662377e-05,
|
| 706 |
+
"loss": 0.0323,
|
| 707 |
+
"step": 1120
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 3.63,
|
| 711 |
+
"learning_rate": 5.4662379421221864e-05,
|
| 712 |
+
"loss": 0.033,
|
| 713 |
+
"step": 1130
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 3.67,
|
| 717 |
+
"learning_rate": 5.337620578778135e-05,
|
| 718 |
+
"loss": 0.0343,
|
| 719 |
+
"step": 1140
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 3.7,
|
| 723 |
+
"learning_rate": 5.209003215434084e-05,
|
| 724 |
+
"loss": 0.0463,
|
| 725 |
+
"step": 1150
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 3.73,
|
| 729 |
+
"learning_rate": 5.080385852090033e-05,
|
| 730 |
+
"loss": 0.0249,
|
| 731 |
+
"step": 1160
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 3.76,
|
| 735 |
+
"learning_rate": 4.951768488745981e-05,
|
| 736 |
+
"loss": 0.0391,
|
| 737 |
+
"step": 1170
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 3.79,
|
| 741 |
+
"learning_rate": 4.8231511254019296e-05,
|
| 742 |
+
"loss": 0.0371,
|
| 743 |
+
"step": 1180
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 3.83,
|
| 747 |
+
"learning_rate": 4.6945337620578784e-05,
|
| 748 |
+
"loss": 0.0288,
|
| 749 |
+
"step": 1190
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 3.86,
|
| 753 |
+
"learning_rate": 4.5659163987138265e-05,
|
| 754 |
+
"loss": 0.0239,
|
| 755 |
+
"step": 1200
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 3.89,
|
| 759 |
+
"learning_rate": 4.437299035369775e-05,
|
| 760 |
+
"loss": 0.0154,
|
| 761 |
+
"step": 1210
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 3.92,
|
| 765 |
+
"learning_rate": 4.308681672025724e-05,
|
| 766 |
+
"loss": 0.0213,
|
| 767 |
+
"step": 1220
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 3.95,
|
| 771 |
+
"learning_rate": 4.180064308681672e-05,
|
| 772 |
+
"loss": 0.0543,
|
| 773 |
+
"step": 1230
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 3.99,
|
| 777 |
+
"learning_rate": 4.051446945337621e-05,
|
| 778 |
+
"loss": 0.0294,
|
| 779 |
+
"step": 1240
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 4.0,
|
| 783 |
+
"eval_accuracy": 0.9931662870159453,
|
| 784 |
+
"eval_loss": 0.02194945700466633,
|
| 785 |
+
"eval_runtime": 24.0412,
|
| 786 |
+
"eval_samples_per_second": 146.083,
|
| 787 |
+
"eval_steps_per_second": 2.288,
|
| 788 |
+
"step": 1244
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 4.02,
|
| 792 |
+
"learning_rate": 3.92282958199357e-05,
|
| 793 |
+
"loss": 0.0325,
|
| 794 |
+
"step": 1250
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 4.05,
|
| 798 |
+
"learning_rate": 3.794212218649518e-05,
|
| 799 |
+
"loss": 0.02,
|
| 800 |
+
"step": 1260
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 4.08,
|
| 804 |
+
"learning_rate": 3.6655948553054666e-05,
|
| 805 |
+
"loss": 0.0284,
|
| 806 |
+
"step": 1270
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 4.12,
|
| 810 |
+
"learning_rate": 3.5369774919614154e-05,
|
| 811 |
+
"loss": 0.0266,
|
| 812 |
+
"step": 1280
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 4.15,
|
| 816 |
+
"learning_rate": 3.4083601286173635e-05,
|
| 817 |
+
"loss": 0.0232,
|
| 818 |
+
"step": 1290
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 4.18,
|
| 822 |
+
"learning_rate": 3.279742765273312e-05,
|
| 823 |
+
"loss": 0.0193,
|
| 824 |
+
"step": 1300
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 4.21,
|
| 828 |
+
"learning_rate": 3.151125401929261e-05,
|
| 829 |
+
"loss": 0.0286,
|
| 830 |
+
"step": 1310
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 4.24,
|
| 834 |
+
"learning_rate": 3.0225080385852088e-05,
|
| 835 |
+
"loss": 0.0464,
|
| 836 |
+
"step": 1320
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 4.28,
|
| 840 |
+
"learning_rate": 2.8938906752411576e-05,
|
| 841 |
+
"loss": 0.0234,
|
| 842 |
+
"step": 1330
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 4.31,
|
| 846 |
+
"learning_rate": 2.7652733118971064e-05,
|
| 847 |
+
"loss": 0.0331,
|
| 848 |
+
"step": 1340
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 4.34,
|
| 852 |
+
"learning_rate": 2.6366559485530545e-05,
|
| 853 |
+
"loss": 0.0243,
|
| 854 |
+
"step": 1350
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 4.37,
|
| 858 |
+
"learning_rate": 2.5080385852090032e-05,
|
| 859 |
+
"loss": 0.0161,
|
| 860 |
+
"step": 1360
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 4.41,
|
| 864 |
+
"learning_rate": 2.379421221864952e-05,
|
| 865 |
+
"loss": 0.0228,
|
| 866 |
+
"step": 1370
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 4.44,
|
| 870 |
+
"learning_rate": 2.2508038585209005e-05,
|
| 871 |
+
"loss": 0.0127,
|
| 872 |
+
"step": 1380
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 4.47,
|
| 876 |
+
"learning_rate": 2.122186495176849e-05,
|
| 877 |
+
"loss": 0.0281,
|
| 878 |
+
"step": 1390
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 4.5,
|
| 882 |
+
"learning_rate": 1.9935691318327977e-05,
|
| 883 |
+
"loss": 0.0369,
|
| 884 |
+
"step": 1400
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 4.53,
|
| 888 |
+
"learning_rate": 1.864951768488746e-05,
|
| 889 |
+
"loss": 0.0205,
|
| 890 |
+
"step": 1410
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 4.57,
|
| 894 |
+
"learning_rate": 1.736334405144695e-05,
|
| 895 |
+
"loss": 0.0263,
|
| 896 |
+
"step": 1420
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 4.6,
|
| 900 |
+
"learning_rate": 1.6077170418006433e-05,
|
| 901 |
+
"loss": 0.0106,
|
| 902 |
+
"step": 1430
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 4.63,
|
| 906 |
+
"learning_rate": 1.4790996784565916e-05,
|
| 907 |
+
"loss": 0.0215,
|
| 908 |
+
"step": 1440
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 4.66,
|
| 912 |
+
"learning_rate": 1.3504823151125404e-05,
|
| 913 |
+
"loss": 0.0251,
|
| 914 |
+
"step": 1450
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 4.69,
|
| 918 |
+
"learning_rate": 1.2218649517684888e-05,
|
| 919 |
+
"loss": 0.0177,
|
| 920 |
+
"step": 1460
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 4.73,
|
| 924 |
+
"learning_rate": 1.0932475884244374e-05,
|
| 925 |
+
"loss": 0.0224,
|
| 926 |
+
"step": 1470
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 4.76,
|
| 930 |
+
"learning_rate": 9.646302250803859e-06,
|
| 931 |
+
"loss": 0.0242,
|
| 932 |
+
"step": 1480
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 4.79,
|
| 936 |
+
"learning_rate": 8.360128617363345e-06,
|
| 937 |
+
"loss": 0.0188,
|
| 938 |
+
"step": 1490
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 4.82,
|
| 942 |
+
"learning_rate": 7.07395498392283e-06,
|
| 943 |
+
"loss": 0.0226,
|
| 944 |
+
"step": 1500
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 4.86,
|
| 948 |
+
"learning_rate": 5.787781350482315e-06,
|
| 949 |
+
"loss": 0.0417,
|
| 950 |
+
"step": 1510
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 4.89,
|
| 954 |
+
"learning_rate": 4.501607717041801e-06,
|
| 955 |
+
"loss": 0.0228,
|
| 956 |
+
"step": 1520
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 4.92,
|
| 960 |
+
"learning_rate": 3.215434083601286e-06,
|
| 961 |
+
"loss": 0.0159,
|
| 962 |
+
"step": 1530
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 4.95,
|
| 966 |
+
"learning_rate": 1.929260450160772e-06,
|
| 967 |
+
"loss": 0.0277,
|
| 968 |
+
"step": 1540
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 4.98,
|
| 972 |
+
"learning_rate": 6.430868167202573e-07,
|
| 973 |
+
"loss": 0.0161,
|
| 974 |
+
"step": 1550
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 5.0,
|
| 978 |
+
"eval_accuracy": 0.9934510250569476,
|
| 979 |
+
"eval_loss": 0.020224373787641525,
|
| 980 |
+
"eval_runtime": 24.2393,
|
| 981 |
+
"eval_samples_per_second": 144.888,
|
| 982 |
+
"eval_steps_per_second": 2.269,
|
| 983 |
+
"step": 1555
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 5.0,
|
| 987 |
+
"step": 1555,
|
| 988 |
+
"total_flos": 0.0,
|
| 989 |
+
"train_loss": 0.05366519431784222,
|
| 990 |
+
"train_runtime": 840.8866,
|
| 991 |
+
"train_samples_per_second": 118.316,
|
| 992 |
+
"train_steps_per_second": 1.849
|
| 993 |
+
}
|
| 994 |
+
],
|
| 995 |
+
"max_steps": 1555,
|
| 996 |
+
"num_train_epochs": 5,
|
| 997 |
+
"total_flos": 0.0,
|
| 998 |
+
"trial_name": null,
|
| 999 |
+
"trial_params": null
|
| 1000 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6f4a7d0b1dcc4c64edf8662ac72ed11843ab923a504f97ade7f05a77641922ac
|
| 3 |
+
size 2735
|