End of training
Browse files- README.md +4 -3
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718824779.ml6.hpc.uio.no.3789351.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +3093 -0
README.md
CHANGED
@@ -1,6 +1,7 @@
|
|
1 |
---
|
2 |
base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
|
3 |
tags:
|
|
|
4 |
- generated_from_trainer
|
5 |
metrics:
|
6 |
- accuracy
|
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# HuggingfaceTest
|
16 |
|
17 |
-
This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
-
- Accuracy: 0.
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
1 |
---
|
2 |
base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
|
3 |
tags:
|
4 |
+
- audio-classification
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
|
|
15 |
|
16 |
# HuggingfaceTest
|
17 |
|
18 |
+
This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on the anderloh/Master5Class dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.8156
|
21 |
+
- Accuracy: 0.7028
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 323.08,
|
3 |
+
"eval_accuracy": 0.7027972027972028,
|
4 |
+
"eval_loss": 0.8156144022941589,
|
5 |
+
"eval_runtime": 5.0661,
|
6 |
+
"eval_samples_per_second": 56.453,
|
7 |
+
"eval_steps_per_second": 0.592,
|
8 |
+
"train_loss": 0.8143934268043155,
|
9 |
+
"train_runtime": 4784.9132,
|
10 |
+
"train_samples_per_second": 113.231,
|
11 |
+
"train_steps_per_second": 0.219
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 323.08,
|
3 |
+
"eval_accuracy": 0.7027972027972028,
|
4 |
+
"eval_loss": 0.8156144022941589,
|
5 |
+
"eval_runtime": 5.0661,
|
6 |
+
"eval_samples_per_second": 56.453,
|
7 |
+
"eval_steps_per_second": 0.592
|
8 |
+
}
|
runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718824779.ml6.hpc.uio.no.3789351.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cd383e2a0a632cc9427727b4a52ff49d1d73ffca3a4750f2874b621fb4e917fa
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 323.08,
|
3 |
+
"train_loss": 0.8143934268043155,
|
4 |
+
"train_runtime": 4784.9132,
|
5 |
+
"train_samples_per_second": 113.231,
|
6 |
+
"train_steps_per_second": 0.219
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3093 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7027972027972028,
|
3 |
+
"best_model_checkpoint": "wav2vec2-5Class-train-test-finetune/checkpoint-721",
|
4 |
+
"epoch": 323.0769230769231,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1050,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.92,
|
13 |
+
"eval_accuracy": 0.34265734265734266,
|
14 |
+
"eval_loss": 1.59893798828125,
|
15 |
+
"eval_runtime": 4.2802,
|
16 |
+
"eval_samples_per_second": 66.819,
|
17 |
+
"eval_steps_per_second": 0.701,
|
18 |
+
"step": 3
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.85,
|
22 |
+
"eval_accuracy": 0.34265734265734266,
|
23 |
+
"eval_loss": 1.5987956523895264,
|
24 |
+
"eval_runtime": 4.8166,
|
25 |
+
"eval_samples_per_second": 59.378,
|
26 |
+
"eval_steps_per_second": 0.623,
|
27 |
+
"step": 6
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.77,
|
31 |
+
"eval_accuracy": 0.34265734265734266,
|
32 |
+
"eval_loss": 1.598555326461792,
|
33 |
+
"eval_runtime": 3.989,
|
34 |
+
"eval_samples_per_second": 71.697,
|
35 |
+
"eval_steps_per_second": 0.752,
|
36 |
+
"step": 9
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 4.0,
|
40 |
+
"eval_accuracy": 0.34265734265734266,
|
41 |
+
"eval_loss": 1.598075270652771,
|
42 |
+
"eval_runtime": 4.3871,
|
43 |
+
"eval_samples_per_second": 65.191,
|
44 |
+
"eval_steps_per_second": 0.684,
|
45 |
+
"step": 13
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 4.92,
|
49 |
+
"eval_accuracy": 0.3356643356643357,
|
50 |
+
"eval_loss": 1.5975924730300903,
|
51 |
+
"eval_runtime": 4.7955,
|
52 |
+
"eval_samples_per_second": 59.639,
|
53 |
+
"eval_steps_per_second": 0.626,
|
54 |
+
"step": 16
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 5.85,
|
58 |
+
"eval_accuracy": 0.34265734265734266,
|
59 |
+
"eval_loss": 1.5970256328582764,
|
60 |
+
"eval_runtime": 4.4665,
|
61 |
+
"eval_samples_per_second": 64.032,
|
62 |
+
"eval_steps_per_second": 0.672,
|
63 |
+
"step": 19
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 6.77,
|
67 |
+
"eval_accuracy": 0.33916083916083917,
|
68 |
+
"eval_loss": 1.5963499546051025,
|
69 |
+
"eval_runtime": 4.3016,
|
70 |
+
"eval_samples_per_second": 66.488,
|
71 |
+
"eval_steps_per_second": 0.697,
|
72 |
+
"step": 22
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 8.0,
|
76 |
+
"eval_accuracy": 0.3356643356643357,
|
77 |
+
"eval_loss": 1.5952636003494263,
|
78 |
+
"eval_runtime": 3.9531,
|
79 |
+
"eval_samples_per_second": 72.347,
|
80 |
+
"eval_steps_per_second": 0.759,
|
81 |
+
"step": 26
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 8.92,
|
85 |
+
"eval_accuracy": 0.32867132867132864,
|
86 |
+
"eval_loss": 1.594333291053772,
|
87 |
+
"eval_runtime": 5.6915,
|
88 |
+
"eval_samples_per_second": 50.25,
|
89 |
+
"eval_steps_per_second": 0.527,
|
90 |
+
"step": 29
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 9.85,
|
94 |
+
"eval_accuracy": 0.32867132867132864,
|
95 |
+
"eval_loss": 1.5933252573013306,
|
96 |
+
"eval_runtime": 4.4236,
|
97 |
+
"eval_samples_per_second": 64.653,
|
98 |
+
"eval_steps_per_second": 0.678,
|
99 |
+
"step": 32
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 10.77,
|
103 |
+
"eval_accuracy": 0.32167832167832167,
|
104 |
+
"eval_loss": 1.592211365699768,
|
105 |
+
"eval_runtime": 4.9541,
|
106 |
+
"eval_samples_per_second": 57.73,
|
107 |
+
"eval_steps_per_second": 0.606,
|
108 |
+
"step": 35
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 12.0,
|
112 |
+
"eval_accuracy": 0.3181818181818182,
|
113 |
+
"eval_loss": 1.5905568599700928,
|
114 |
+
"eval_runtime": 5.1955,
|
115 |
+
"eval_samples_per_second": 55.047,
|
116 |
+
"eval_steps_per_second": 0.577,
|
117 |
+
"step": 39
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 12.92,
|
121 |
+
"eval_accuracy": 0.3146853146853147,
|
122 |
+
"eval_loss": 1.58920156955719,
|
123 |
+
"eval_runtime": 3.6236,
|
124 |
+
"eval_samples_per_second": 78.926,
|
125 |
+
"eval_steps_per_second": 0.828,
|
126 |
+
"step": 42
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 13.85,
|
130 |
+
"eval_accuracy": 0.3006993006993007,
|
131 |
+
"eval_loss": 1.5877453088760376,
|
132 |
+
"eval_runtime": 4.348,
|
133 |
+
"eval_samples_per_second": 65.778,
|
134 |
+
"eval_steps_per_second": 0.69,
|
135 |
+
"step": 45
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 14.77,
|
139 |
+
"eval_accuracy": 0.2937062937062937,
|
140 |
+
"eval_loss": 1.5862104892730713,
|
141 |
+
"eval_runtime": 4.6902,
|
142 |
+
"eval_samples_per_second": 60.978,
|
143 |
+
"eval_steps_per_second": 0.64,
|
144 |
+
"step": 48
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 15.38,
|
148 |
+
"grad_norm": 65952.0234375,
|
149 |
+
"learning_rate": 1.4285714285714285e-05,
|
150 |
+
"loss": 1.5907,
|
151 |
+
"step": 50
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 16.0,
|
155 |
+
"eval_accuracy": 0.2972027972027972,
|
156 |
+
"eval_loss": 1.5840750932693481,
|
157 |
+
"eval_runtime": 4.547,
|
158 |
+
"eval_samples_per_second": 62.899,
|
159 |
+
"eval_steps_per_second": 0.66,
|
160 |
+
"step": 52
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 16.92,
|
164 |
+
"eval_accuracy": 0.28321678321678323,
|
165 |
+
"eval_loss": 1.5823713541030884,
|
166 |
+
"eval_runtime": 5.3625,
|
167 |
+
"eval_samples_per_second": 53.334,
|
168 |
+
"eval_steps_per_second": 0.559,
|
169 |
+
"step": 55
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 17.85,
|
173 |
+
"eval_accuracy": 0.27972027972027974,
|
174 |
+
"eval_loss": 1.5806101560592651,
|
175 |
+
"eval_runtime": 4.7671,
|
176 |
+
"eval_samples_per_second": 59.995,
|
177 |
+
"eval_steps_per_second": 0.629,
|
178 |
+
"step": 58
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 18.77,
|
182 |
+
"eval_accuracy": 0.2692307692307692,
|
183 |
+
"eval_loss": 1.5787912607192993,
|
184 |
+
"eval_runtime": 4.3086,
|
185 |
+
"eval_samples_per_second": 66.378,
|
186 |
+
"eval_steps_per_second": 0.696,
|
187 |
+
"step": 61
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 20.0,
|
191 |
+
"eval_accuracy": 0.2692307692307692,
|
192 |
+
"eval_loss": 1.576175332069397,
|
193 |
+
"eval_runtime": 5.3175,
|
194 |
+
"eval_samples_per_second": 53.784,
|
195 |
+
"eval_steps_per_second": 0.564,
|
196 |
+
"step": 65
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 20.92,
|
200 |
+
"eval_accuracy": 0.26573426573426573,
|
201 |
+
"eval_loss": 1.5740149021148682,
|
202 |
+
"eval_runtime": 4.5172,
|
203 |
+
"eval_samples_per_second": 63.314,
|
204 |
+
"eval_steps_per_second": 0.664,
|
205 |
+
"step": 68
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 21.85,
|
209 |
+
"eval_accuracy": 0.25524475524475526,
|
210 |
+
"eval_loss": 1.5717105865478516,
|
211 |
+
"eval_runtime": 3.9011,
|
212 |
+
"eval_samples_per_second": 73.312,
|
213 |
+
"eval_steps_per_second": 0.769,
|
214 |
+
"step": 71
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 22.77,
|
218 |
+
"eval_accuracy": 0.2517482517482518,
|
219 |
+
"eval_loss": 1.5693939924240112,
|
220 |
+
"eval_runtime": 3.9307,
|
221 |
+
"eval_samples_per_second": 72.76,
|
222 |
+
"eval_steps_per_second": 0.763,
|
223 |
+
"step": 74
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 24.0,
|
227 |
+
"eval_accuracy": 0.23776223776223776,
|
228 |
+
"eval_loss": 1.566083312034607,
|
229 |
+
"eval_runtime": 3.7134,
|
230 |
+
"eval_samples_per_second": 77.019,
|
231 |
+
"eval_steps_per_second": 0.808,
|
232 |
+
"step": 78
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 24.92,
|
236 |
+
"eval_accuracy": 0.23426573426573427,
|
237 |
+
"eval_loss": 1.5634570121765137,
|
238 |
+
"eval_runtime": 4.5234,
|
239 |
+
"eval_samples_per_second": 63.226,
|
240 |
+
"eval_steps_per_second": 0.663,
|
241 |
+
"step": 81
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 25.85,
|
245 |
+
"eval_accuracy": 0.22377622377622378,
|
246 |
+
"eval_loss": 1.5608404874801636,
|
247 |
+
"eval_runtime": 4.4129,
|
248 |
+
"eval_samples_per_second": 64.81,
|
249 |
+
"eval_steps_per_second": 0.68,
|
250 |
+
"step": 84
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 26.77,
|
254 |
+
"eval_accuracy": 0.22377622377622378,
|
255 |
+
"eval_loss": 1.5581375360488892,
|
256 |
+
"eval_runtime": 4.7168,
|
257 |
+
"eval_samples_per_second": 60.635,
|
258 |
+
"eval_steps_per_second": 0.636,
|
259 |
+
"step": 87
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 28.0,
|
263 |
+
"eval_accuracy": 0.22727272727272727,
|
264 |
+
"eval_loss": 1.5542311668395996,
|
265 |
+
"eval_runtime": 5.4736,
|
266 |
+
"eval_samples_per_second": 52.251,
|
267 |
+
"eval_steps_per_second": 0.548,
|
268 |
+
"step": 91
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 28.92,
|
272 |
+
"eval_accuracy": 0.22727272727272727,
|
273 |
+
"eval_loss": 1.5511480569839478,
|
274 |
+
"eval_runtime": 5.6532,
|
275 |
+
"eval_samples_per_second": 50.591,
|
276 |
+
"eval_steps_per_second": 0.531,
|
277 |
+
"step": 94
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 29.85,
|
281 |
+
"eval_accuracy": 0.22727272727272727,
|
282 |
+
"eval_loss": 1.5479341745376587,
|
283 |
+
"eval_runtime": 5.2852,
|
284 |
+
"eval_samples_per_second": 54.113,
|
285 |
+
"eval_steps_per_second": 0.568,
|
286 |
+
"step": 97
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 30.77,
|
290 |
+
"grad_norm": 68930.8125,
|
291 |
+
"learning_rate": 2.857142857142857e-05,
|
292 |
+
"loss": 1.5431,
|
293 |
+
"step": 100
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 30.77,
|
297 |
+
"eval_accuracy": 0.22727272727272727,
|
298 |
+
"eval_loss": 1.5448040962219238,
|
299 |
+
"eval_runtime": 4.6157,
|
300 |
+
"eval_samples_per_second": 61.962,
|
301 |
+
"eval_steps_per_second": 0.65,
|
302 |
+
"step": 100
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 32.0,
|
306 |
+
"eval_accuracy": 0.22727272727272727,
|
307 |
+
"eval_loss": 1.5407565832138062,
|
308 |
+
"eval_runtime": 6.2131,
|
309 |
+
"eval_samples_per_second": 46.032,
|
310 |
+
"eval_steps_per_second": 0.483,
|
311 |
+
"step": 104
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 32.92,
|
315 |
+
"eval_accuracy": 0.22727272727272727,
|
316 |
+
"eval_loss": 1.5379865169525146,
|
317 |
+
"eval_runtime": 4.645,
|
318 |
+
"eval_samples_per_second": 61.571,
|
319 |
+
"eval_steps_per_second": 0.646,
|
320 |
+
"step": 107
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 33.85,
|
324 |
+
"eval_accuracy": 0.22727272727272727,
|
325 |
+
"eval_loss": 1.5359200239181519,
|
326 |
+
"eval_runtime": 5.5884,
|
327 |
+
"eval_samples_per_second": 51.178,
|
328 |
+
"eval_steps_per_second": 0.537,
|
329 |
+
"step": 110
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 34.77,
|
333 |
+
"eval_accuracy": 0.22727272727272727,
|
334 |
+
"eval_loss": 1.5345218181610107,
|
335 |
+
"eval_runtime": 4.5718,
|
336 |
+
"eval_samples_per_second": 62.557,
|
337 |
+
"eval_steps_per_second": 0.656,
|
338 |
+
"step": 113
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 36.0,
|
342 |
+
"eval_accuracy": 0.22727272727272727,
|
343 |
+
"eval_loss": 1.5334985256195068,
|
344 |
+
"eval_runtime": 5.3526,
|
345 |
+
"eval_samples_per_second": 53.432,
|
346 |
+
"eval_steps_per_second": 0.56,
|
347 |
+
"step": 117
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 36.92,
|
351 |
+
"eval_accuracy": 0.22727272727272727,
|
352 |
+
"eval_loss": 1.5340909957885742,
|
353 |
+
"eval_runtime": 4.471,
|
354 |
+
"eval_samples_per_second": 63.967,
|
355 |
+
"eval_steps_per_second": 0.671,
|
356 |
+
"step": 120
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 37.85,
|
360 |
+
"eval_accuracy": 0.22727272727272727,
|
361 |
+
"eval_loss": 1.5361381769180298,
|
362 |
+
"eval_runtime": 3.5623,
|
363 |
+
"eval_samples_per_second": 80.286,
|
364 |
+
"eval_steps_per_second": 0.842,
|
365 |
+
"step": 123
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 38.77,
|
369 |
+
"eval_accuracy": 0.22727272727272727,
|
370 |
+
"eval_loss": 1.5397439002990723,
|
371 |
+
"eval_runtime": 4.9023,
|
372 |
+
"eval_samples_per_second": 58.34,
|
373 |
+
"eval_steps_per_second": 0.612,
|
374 |
+
"step": 126
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 40.0,
|
378 |
+
"eval_accuracy": 0.22727272727272727,
|
379 |
+
"eval_loss": 1.5478534698486328,
|
380 |
+
"eval_runtime": 3.7352,
|
381 |
+
"eval_samples_per_second": 76.569,
|
382 |
+
"eval_steps_per_second": 0.803,
|
383 |
+
"step": 130
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 40.92,
|
387 |
+
"eval_accuracy": 0.22727272727272727,
|
388 |
+
"eval_loss": 1.5564229488372803,
|
389 |
+
"eval_runtime": 4.3225,
|
390 |
+
"eval_samples_per_second": 66.166,
|
391 |
+
"eval_steps_per_second": 0.694,
|
392 |
+
"step": 133
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 41.85,
|
396 |
+
"eval_accuracy": 0.22727272727272727,
|
397 |
+
"eval_loss": 1.5678777694702148,
|
398 |
+
"eval_runtime": 4.6076,
|
399 |
+
"eval_samples_per_second": 62.072,
|
400 |
+
"eval_steps_per_second": 0.651,
|
401 |
+
"step": 136
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 42.77,
|
405 |
+
"eval_accuracy": 0.22727272727272727,
|
406 |
+
"eval_loss": 1.5821971893310547,
|
407 |
+
"eval_runtime": 4.2697,
|
408 |
+
"eval_samples_per_second": 66.983,
|
409 |
+
"eval_steps_per_second": 0.703,
|
410 |
+
"step": 139
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 44.0,
|
414 |
+
"eval_accuracy": 0.22727272727272727,
|
415 |
+
"eval_loss": 1.6002099514007568,
|
416 |
+
"eval_runtime": 4.533,
|
417 |
+
"eval_samples_per_second": 63.094,
|
418 |
+
"eval_steps_per_second": 0.662,
|
419 |
+
"step": 143
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 44.92,
|
423 |
+
"eval_accuracy": 0.22727272727272727,
|
424 |
+
"eval_loss": 1.6109449863433838,
|
425 |
+
"eval_runtime": 3.9799,
|
426 |
+
"eval_samples_per_second": 71.861,
|
427 |
+
"eval_steps_per_second": 0.754,
|
428 |
+
"step": 146
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 45.85,
|
432 |
+
"eval_accuracy": 0.22727272727272727,
|
433 |
+
"eval_loss": 1.6145771741867065,
|
434 |
+
"eval_runtime": 4.3613,
|
435 |
+
"eval_samples_per_second": 65.576,
|
436 |
+
"eval_steps_per_second": 0.688,
|
437 |
+
"step": 149
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 46.15,
|
441 |
+
"grad_norm": 45833.69921875,
|
442 |
+
"learning_rate": 2.857142857142857e-05,
|
443 |
+
"loss": 1.4033,
|
444 |
+
"step": 150
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 46.77,
|
448 |
+
"eval_accuracy": 0.22727272727272727,
|
449 |
+
"eval_loss": 1.6130825281143188,
|
450 |
+
"eval_runtime": 4.2963,
|
451 |
+
"eval_samples_per_second": 66.568,
|
452 |
+
"eval_steps_per_second": 0.698,
|
453 |
+
"step": 152
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 48.0,
|
457 |
+
"eval_accuracy": 0.22727272727272727,
|
458 |
+
"eval_loss": 1.6008453369140625,
|
459 |
+
"eval_runtime": 4.063,
|
460 |
+
"eval_samples_per_second": 70.391,
|
461 |
+
"eval_steps_per_second": 0.738,
|
462 |
+
"step": 156
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 48.92,
|
466 |
+
"eval_accuracy": 0.24125874125874125,
|
467 |
+
"eval_loss": 1.586226224899292,
|
468 |
+
"eval_runtime": 4.5029,
|
469 |
+
"eval_samples_per_second": 63.515,
|
470 |
+
"eval_steps_per_second": 0.666,
|
471 |
+
"step": 159
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 49.85,
|
475 |
+
"eval_accuracy": 0.2692307692307692,
|
476 |
+
"eval_loss": 1.572645902633667,
|
477 |
+
"eval_runtime": 5.0597,
|
478 |
+
"eval_samples_per_second": 56.525,
|
479 |
+
"eval_steps_per_second": 0.593,
|
480 |
+
"step": 162
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 50.77,
|
484 |
+
"eval_accuracy": 0.2692307692307692,
|
485 |
+
"eval_loss": 1.559901237487793,
|
486 |
+
"eval_runtime": 4.4174,
|
487 |
+
"eval_samples_per_second": 64.744,
|
488 |
+
"eval_steps_per_second": 0.679,
|
489 |
+
"step": 165
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 52.0,
|
493 |
+
"eval_accuracy": 0.2867132867132867,
|
494 |
+
"eval_loss": 1.5458828210830688,
|
495 |
+
"eval_runtime": 4.357,
|
496 |
+
"eval_samples_per_second": 65.642,
|
497 |
+
"eval_steps_per_second": 0.689,
|
498 |
+
"step": 169
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 52.92,
|
502 |
+
"eval_accuracy": 0.2937062937062937,
|
503 |
+
"eval_loss": 1.5382803678512573,
|
504 |
+
"eval_runtime": 5.6394,
|
505 |
+
"eval_samples_per_second": 50.714,
|
506 |
+
"eval_steps_per_second": 0.532,
|
507 |
+
"step": 172
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 53.85,
|
511 |
+
"eval_accuracy": 0.3146853146853147,
|
512 |
+
"eval_loss": 1.5310516357421875,
|
513 |
+
"eval_runtime": 4.4695,
|
514 |
+
"eval_samples_per_second": 63.989,
|
515 |
+
"eval_steps_per_second": 0.671,
|
516 |
+
"step": 175
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 54.77,
|
520 |
+
"eval_accuracy": 0.32517482517482516,
|
521 |
+
"eval_loss": 1.5242317914962769,
|
522 |
+
"eval_runtime": 3.8554,
|
523 |
+
"eval_samples_per_second": 74.181,
|
524 |
+
"eval_steps_per_second": 0.778,
|
525 |
+
"step": 178
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 56.0,
|
529 |
+
"eval_accuracy": 0.3356643356643357,
|
530 |
+
"eval_loss": 1.5169461965560913,
|
531 |
+
"eval_runtime": 3.9817,
|
532 |
+
"eval_samples_per_second": 71.828,
|
533 |
+
"eval_steps_per_second": 0.753,
|
534 |
+
"step": 182
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 56.92,
|
538 |
+
"eval_accuracy": 0.34265734265734266,
|
539 |
+
"eval_loss": 1.5103094577789307,
|
540 |
+
"eval_runtime": 3.9287,
|
541 |
+
"eval_samples_per_second": 72.797,
|
542 |
+
"eval_steps_per_second": 0.764,
|
543 |
+
"step": 185
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 57.85,
|
547 |
+
"eval_accuracy": 0.34615384615384615,
|
548 |
+
"eval_loss": 1.5055506229400635,
|
549 |
+
"eval_runtime": 4.3922,
|
550 |
+
"eval_samples_per_second": 65.115,
|
551 |
+
"eval_steps_per_second": 0.683,
|
552 |
+
"step": 188
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 58.77,
|
556 |
+
"eval_accuracy": 0.34615384615384615,
|
557 |
+
"eval_loss": 1.4995349645614624,
|
558 |
+
"eval_runtime": 4.2261,
|
559 |
+
"eval_samples_per_second": 67.675,
|
560 |
+
"eval_steps_per_second": 0.71,
|
561 |
+
"step": 191
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 60.0,
|
565 |
+
"eval_accuracy": 0.34965034965034963,
|
566 |
+
"eval_loss": 1.4939184188842773,
|
567 |
+
"eval_runtime": 3.9946,
|
568 |
+
"eval_samples_per_second": 71.597,
|
569 |
+
"eval_steps_per_second": 0.751,
|
570 |
+
"step": 195
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 60.92,
|
574 |
+
"eval_accuracy": 0.36013986013986016,
|
575 |
+
"eval_loss": 1.4870301485061646,
|
576 |
+
"eval_runtime": 4.7123,
|
577 |
+
"eval_samples_per_second": 60.693,
|
578 |
+
"eval_steps_per_second": 0.637,
|
579 |
+
"step": 198
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 61.54,
|
583 |
+
"grad_norm": 27324.4609375,
|
584 |
+
"learning_rate": 2.6984126984126984e-05,
|
585 |
+
"loss": 1.2485,
|
586 |
+
"step": 200
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 61.85,
|
590 |
+
"eval_accuracy": 0.36713286713286714,
|
591 |
+
"eval_loss": 1.4828742742538452,
|
592 |
+
"eval_runtime": 4.8484,
|
593 |
+
"eval_samples_per_second": 58.989,
|
594 |
+
"eval_steps_per_second": 0.619,
|
595 |
+
"step": 201
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 62.77,
|
599 |
+
"eval_accuracy": 0.3741258741258741,
|
600 |
+
"eval_loss": 1.4735387563705444,
|
601 |
+
"eval_runtime": 4.203,
|
602 |
+
"eval_samples_per_second": 68.047,
|
603 |
+
"eval_steps_per_second": 0.714,
|
604 |
+
"step": 204
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 64.0,
|
608 |
+
"eval_accuracy": 0.3811188811188811,
|
609 |
+
"eval_loss": 1.4612373113632202,
|
610 |
+
"eval_runtime": 4.6341,
|
611 |
+
"eval_samples_per_second": 61.716,
|
612 |
+
"eval_steps_per_second": 0.647,
|
613 |
+
"step": 208
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 64.92,
|
617 |
+
"eval_accuracy": 0.3986013986013986,
|
618 |
+
"eval_loss": 1.4491915702819824,
|
619 |
+
"eval_runtime": 3.9863,
|
620 |
+
"eval_samples_per_second": 71.745,
|
621 |
+
"eval_steps_per_second": 0.753,
|
622 |
+
"step": 211
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 65.85,
|
626 |
+
"eval_accuracy": 0.4125874125874126,
|
627 |
+
"eval_loss": 1.4364999532699585,
|
628 |
+
"eval_runtime": 4.1321,
|
629 |
+
"eval_samples_per_second": 69.214,
|
630 |
+
"eval_steps_per_second": 0.726,
|
631 |
+
"step": 214
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 66.77,
|
635 |
+
"eval_accuracy": 0.4230769230769231,
|
636 |
+
"eval_loss": 1.4226809740066528,
|
637 |
+
"eval_runtime": 4.2397,
|
638 |
+
"eval_samples_per_second": 67.458,
|
639 |
+
"eval_steps_per_second": 0.708,
|
640 |
+
"step": 217
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 68.0,
|
644 |
+
"eval_accuracy": 0.43356643356643354,
|
645 |
+
"eval_loss": 1.4095807075500488,
|
646 |
+
"eval_runtime": 3.8645,
|
647 |
+
"eval_samples_per_second": 74.007,
|
648 |
+
"eval_steps_per_second": 0.776,
|
649 |
+
"step": 221
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 68.92,
|
653 |
+
"eval_accuracy": 0.4370629370629371,
|
654 |
+
"eval_loss": 1.4010183811187744,
|
655 |
+
"eval_runtime": 4.5348,
|
656 |
+
"eval_samples_per_second": 63.068,
|
657 |
+
"eval_steps_per_second": 0.662,
|
658 |
+
"step": 224
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 69.85,
|
662 |
+
"eval_accuracy": 0.4405594405594406,
|
663 |
+
"eval_loss": 1.3949679136276245,
|
664 |
+
"eval_runtime": 4.4414,
|
665 |
+
"eval_samples_per_second": 64.394,
|
666 |
+
"eval_steps_per_second": 0.675,
|
667 |
+
"step": 227
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 70.77,
|
671 |
+
"eval_accuracy": 0.4370629370629371,
|
672 |
+
"eval_loss": 1.3919552564620972,
|
673 |
+
"eval_runtime": 4.3028,
|
674 |
+
"eval_samples_per_second": 66.468,
|
675 |
+
"eval_steps_per_second": 0.697,
|
676 |
+
"step": 230
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 72.0,
|
680 |
+
"eval_accuracy": 0.4405594405594406,
|
681 |
+
"eval_loss": 1.3798925876617432,
|
682 |
+
"eval_runtime": 3.4387,
|
683 |
+
"eval_samples_per_second": 83.17,
|
684 |
+
"eval_steps_per_second": 0.872,
|
685 |
+
"step": 234
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 72.92,
|
689 |
+
"eval_accuracy": 0.44755244755244755,
|
690 |
+
"eval_loss": 1.366864800453186,
|
691 |
+
"eval_runtime": 4.6503,
|
692 |
+
"eval_samples_per_second": 61.502,
|
693 |
+
"eval_steps_per_second": 0.645,
|
694 |
+
"step": 237
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 73.85,
|
698 |
+
"eval_accuracy": 0.45454545454545453,
|
699 |
+
"eval_loss": 1.3514918088912964,
|
700 |
+
"eval_runtime": 4.5609,
|
701 |
+
"eval_samples_per_second": 62.707,
|
702 |
+
"eval_steps_per_second": 0.658,
|
703 |
+
"step": 240
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 74.77,
|
707 |
+
"eval_accuracy": 0.47202797202797203,
|
708 |
+
"eval_loss": 1.3400850296020508,
|
709 |
+
"eval_runtime": 3.8017,
|
710 |
+
"eval_samples_per_second": 75.229,
|
711 |
+
"eval_steps_per_second": 0.789,
|
712 |
+
"step": 243
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 76.0,
|
716 |
+
"eval_accuracy": 0.4825174825174825,
|
717 |
+
"eval_loss": 1.3286209106445312,
|
718 |
+
"eval_runtime": 5.7477,
|
719 |
+
"eval_samples_per_second": 49.759,
|
720 |
+
"eval_steps_per_second": 0.522,
|
721 |
+
"step": 247
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 76.92,
|
725 |
+
"grad_norm": 23198.236328125,
|
726 |
+
"learning_rate": 2.5396825396825397e-05,
|
727 |
+
"loss": 1.1198,
|
728 |
+
"step": 250
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 76.92,
|
732 |
+
"eval_accuracy": 0.486013986013986,
|
733 |
+
"eval_loss": 1.317462682723999,
|
734 |
+
"eval_runtime": 4.5266,
|
735 |
+
"eval_samples_per_second": 63.182,
|
736 |
+
"eval_steps_per_second": 0.663,
|
737 |
+
"step": 250
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 77.85,
|
741 |
+
"eval_accuracy": 0.48951048951048953,
|
742 |
+
"eval_loss": 1.3067171573638916,
|
743 |
+
"eval_runtime": 3.882,
|
744 |
+
"eval_samples_per_second": 73.673,
|
745 |
+
"eval_steps_per_second": 0.773,
|
746 |
+
"step": 253
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 78.77,
|
750 |
+
"eval_accuracy": 0.4825174825174825,
|
751 |
+
"eval_loss": 1.3013015985488892,
|
752 |
+
"eval_runtime": 4.0902,
|
753 |
+
"eval_samples_per_second": 69.923,
|
754 |
+
"eval_steps_per_second": 0.733,
|
755 |
+
"step": 256
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 80.0,
|
759 |
+
"eval_accuracy": 0.479020979020979,
|
760 |
+
"eval_loss": 1.2954434156417847,
|
761 |
+
"eval_runtime": 5.4081,
|
762 |
+
"eval_samples_per_second": 52.884,
|
763 |
+
"eval_steps_per_second": 0.555,
|
764 |
+
"step": 260
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 80.92,
|
768 |
+
"eval_accuracy": 0.486013986013986,
|
769 |
+
"eval_loss": 1.289677381515503,
|
770 |
+
"eval_runtime": 4.384,
|
771 |
+
"eval_samples_per_second": 65.238,
|
772 |
+
"eval_steps_per_second": 0.684,
|
773 |
+
"step": 263
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 81.85,
|
777 |
+
"eval_accuracy": 0.486013986013986,
|
778 |
+
"eval_loss": 1.283199667930603,
|
779 |
+
"eval_runtime": 4.3325,
|
780 |
+
"eval_samples_per_second": 66.013,
|
781 |
+
"eval_steps_per_second": 0.692,
|
782 |
+
"step": 266
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 82.77,
|
786 |
+
"eval_accuracy": 0.4825174825174825,
|
787 |
+
"eval_loss": 1.2712346315383911,
|
788 |
+
"eval_runtime": 4.6039,
|
789 |
+
"eval_samples_per_second": 62.121,
|
790 |
+
"eval_steps_per_second": 0.652,
|
791 |
+
"step": 269
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 84.0,
|
795 |
+
"eval_accuracy": 0.493006993006993,
|
796 |
+
"eval_loss": 1.2584125995635986,
|
797 |
+
"eval_runtime": 4.5791,
|
798 |
+
"eval_samples_per_second": 62.458,
|
799 |
+
"eval_steps_per_second": 0.655,
|
800 |
+
"step": 273
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 84.92,
|
804 |
+
"eval_accuracy": 0.4965034965034965,
|
805 |
+
"eval_loss": 1.2516244649887085,
|
806 |
+
"eval_runtime": 4.8825,
|
807 |
+
"eval_samples_per_second": 58.577,
|
808 |
+
"eval_steps_per_second": 0.614,
|
809 |
+
"step": 276
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 85.85,
|
813 |
+
"eval_accuracy": 0.5,
|
814 |
+
"eval_loss": 1.2455971240997314,
|
815 |
+
"eval_runtime": 3.9744,
|
816 |
+
"eval_samples_per_second": 71.96,
|
817 |
+
"eval_steps_per_second": 0.755,
|
818 |
+
"step": 279
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 86.77,
|
822 |
+
"eval_accuracy": 0.5104895104895105,
|
823 |
+
"eval_loss": 1.2443982362747192,
|
824 |
+
"eval_runtime": 4.5207,
|
825 |
+
"eval_samples_per_second": 63.265,
|
826 |
+
"eval_steps_per_second": 0.664,
|
827 |
+
"step": 282
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 88.0,
|
831 |
+
"eval_accuracy": 0.5104895104895105,
|
832 |
+
"eval_loss": 1.2373132705688477,
|
833 |
+
"eval_runtime": 5.6152,
|
834 |
+
"eval_samples_per_second": 50.933,
|
835 |
+
"eval_steps_per_second": 0.534,
|
836 |
+
"step": 286
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 88.92,
|
840 |
+
"eval_accuracy": 0.513986013986014,
|
841 |
+
"eval_loss": 1.2309471368789673,
|
842 |
+
"eval_runtime": 4.7969,
|
843 |
+
"eval_samples_per_second": 59.622,
|
844 |
+
"eval_steps_per_second": 0.625,
|
845 |
+
"step": 289
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 89.85,
|
849 |
+
"eval_accuracy": 0.5209790209790209,
|
850 |
+
"eval_loss": 1.2219436168670654,
|
851 |
+
"eval_runtime": 4.2518,
|
852 |
+
"eval_samples_per_second": 67.266,
|
853 |
+
"eval_steps_per_second": 0.706,
|
854 |
+
"step": 292
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 90.77,
|
858 |
+
"eval_accuracy": 0.5209790209790209,
|
859 |
+
"eval_loss": 1.2145464420318604,
|
860 |
+
"eval_runtime": 4.6368,
|
861 |
+
"eval_samples_per_second": 61.68,
|
862 |
+
"eval_steps_per_second": 0.647,
|
863 |
+
"step": 295
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 92.0,
|
867 |
+
"eval_accuracy": 0.527972027972028,
|
868 |
+
"eval_loss": 1.2054263353347778,
|
869 |
+
"eval_runtime": 4.2071,
|
870 |
+
"eval_samples_per_second": 67.98,
|
871 |
+
"eval_steps_per_second": 0.713,
|
872 |
+
"step": 299
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 92.31,
|
876 |
+
"grad_norm": 29195.7578125,
|
877 |
+
"learning_rate": 2.380952380952381e-05,
|
878 |
+
"loss": 0.9915,
|
879 |
+
"step": 300
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 92.92,
|
883 |
+
"eval_accuracy": 0.534965034965035,
|
884 |
+
"eval_loss": 1.1981616020202637,
|
885 |
+
"eval_runtime": 4.3609,
|
886 |
+
"eval_samples_per_second": 65.583,
|
887 |
+
"eval_steps_per_second": 0.688,
|
888 |
+
"step": 302
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 93.85,
|
892 |
+
"eval_accuracy": 0.5384615384615384,
|
893 |
+
"eval_loss": 1.1913262605667114,
|
894 |
+
"eval_runtime": 3.9073,
|
895 |
+
"eval_samples_per_second": 73.197,
|
896 |
+
"eval_steps_per_second": 0.768,
|
897 |
+
"step": 305
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 94.77,
|
901 |
+
"eval_accuracy": 0.5454545454545454,
|
902 |
+
"eval_loss": 1.185881495475769,
|
903 |
+
"eval_runtime": 3.928,
|
904 |
+
"eval_samples_per_second": 72.811,
|
905 |
+
"eval_steps_per_second": 0.764,
|
906 |
+
"step": 308
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 96.0,
|
910 |
+
"eval_accuracy": 0.548951048951049,
|
911 |
+
"eval_loss": 1.179394006729126,
|
912 |
+
"eval_runtime": 4.1933,
|
913 |
+
"eval_samples_per_second": 68.204,
|
914 |
+
"eval_steps_per_second": 0.715,
|
915 |
+
"step": 312
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 96.92,
|
919 |
+
"eval_accuracy": 0.5454545454545454,
|
920 |
+
"eval_loss": 1.1733678579330444,
|
921 |
+
"eval_runtime": 5.0205,
|
922 |
+
"eval_samples_per_second": 56.967,
|
923 |
+
"eval_steps_per_second": 0.598,
|
924 |
+
"step": 315
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 97.85,
|
928 |
+
"eval_accuracy": 0.5524475524475524,
|
929 |
+
"eval_loss": 1.1637603044509888,
|
930 |
+
"eval_runtime": 4.8886,
|
931 |
+
"eval_samples_per_second": 58.503,
|
932 |
+
"eval_steps_per_second": 0.614,
|
933 |
+
"step": 318
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 98.77,
|
937 |
+
"eval_accuracy": 0.5524475524475524,
|
938 |
+
"eval_loss": 1.1549575328826904,
|
939 |
+
"eval_runtime": 4.9266,
|
940 |
+
"eval_samples_per_second": 58.052,
|
941 |
+
"eval_steps_per_second": 0.609,
|
942 |
+
"step": 321
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 100.0,
|
946 |
+
"eval_accuracy": 0.548951048951049,
|
947 |
+
"eval_loss": 1.1464989185333252,
|
948 |
+
"eval_runtime": 4.7642,
|
949 |
+
"eval_samples_per_second": 60.032,
|
950 |
+
"eval_steps_per_second": 0.63,
|
951 |
+
"step": 325
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 100.92,
|
955 |
+
"eval_accuracy": 0.5594405594405595,
|
956 |
+
"eval_loss": 1.1443748474121094,
|
957 |
+
"eval_runtime": 4.7025,
|
958 |
+
"eval_samples_per_second": 60.819,
|
959 |
+
"eval_steps_per_second": 0.638,
|
960 |
+
"step": 328
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 101.85,
|
964 |
+
"eval_accuracy": 0.5629370629370629,
|
965 |
+
"eval_loss": 1.1359333992004395,
|
966 |
+
"eval_runtime": 4.6342,
|
967 |
+
"eval_samples_per_second": 61.715,
|
968 |
+
"eval_steps_per_second": 0.647,
|
969 |
+
"step": 331
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 102.77,
|
973 |
+
"eval_accuracy": 0.5664335664335665,
|
974 |
+
"eval_loss": 1.1271060705184937,
|
975 |
+
"eval_runtime": 4.4245,
|
976 |
+
"eval_samples_per_second": 64.639,
|
977 |
+
"eval_steps_per_second": 0.678,
|
978 |
+
"step": 334
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 104.0,
|
982 |
+
"eval_accuracy": 0.5769230769230769,
|
983 |
+
"eval_loss": 1.109040379524231,
|
984 |
+
"eval_runtime": 4.9047,
|
985 |
+
"eval_samples_per_second": 58.311,
|
986 |
+
"eval_steps_per_second": 0.612,
|
987 |
+
"step": 338
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 104.92,
|
991 |
+
"eval_accuracy": 0.5944055944055944,
|
992 |
+
"eval_loss": 1.0972033739089966,
|
993 |
+
"eval_runtime": 4.5473,
|
994 |
+
"eval_samples_per_second": 62.895,
|
995 |
+
"eval_steps_per_second": 0.66,
|
996 |
+
"step": 341
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 105.85,
|
1000 |
+
"eval_accuracy": 0.6013986013986014,
|
1001 |
+
"eval_loss": 1.090105414390564,
|
1002 |
+
"eval_runtime": 3.7875,
|
1003 |
+
"eval_samples_per_second": 75.511,
|
1004 |
+
"eval_steps_per_second": 0.792,
|
1005 |
+
"step": 344
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 106.77,
|
1009 |
+
"eval_accuracy": 0.6083916083916084,
|
1010 |
+
"eval_loss": 1.0809463262557983,
|
1011 |
+
"eval_runtime": 4.7656,
|
1012 |
+
"eval_samples_per_second": 60.014,
|
1013 |
+
"eval_steps_per_second": 0.63,
|
1014 |
+
"step": 347
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 107.69,
|
1018 |
+
"grad_norm": 32308.33984375,
|
1019 |
+
"learning_rate": 2.222222222222222e-05,
|
1020 |
+
"loss": 0.8834,
|
1021 |
+
"step": 350
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 108.0,
|
1025 |
+
"eval_accuracy": 0.6118881118881119,
|
1026 |
+
"eval_loss": 1.0683268308639526,
|
1027 |
+
"eval_runtime": 4.3145,
|
1028 |
+
"eval_samples_per_second": 66.288,
|
1029 |
+
"eval_steps_per_second": 0.695,
|
1030 |
+
"step": 351
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 108.92,
|
1034 |
+
"eval_accuracy": 0.6223776223776224,
|
1035 |
+
"eval_loss": 1.0605404376983643,
|
1036 |
+
"eval_runtime": 4.6097,
|
1037 |
+
"eval_samples_per_second": 62.043,
|
1038 |
+
"eval_steps_per_second": 0.651,
|
1039 |
+
"step": 354
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 109.85,
|
1043 |
+
"eval_accuracy": 0.6258741258741258,
|
1044 |
+
"eval_loss": 1.0562984943389893,
|
1045 |
+
"eval_runtime": 4.859,
|
1046 |
+
"eval_samples_per_second": 58.86,
|
1047 |
+
"eval_steps_per_second": 0.617,
|
1048 |
+
"step": 357
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 110.77,
|
1052 |
+
"eval_accuracy": 0.6223776223776224,
|
1053 |
+
"eval_loss": 1.0537959337234497,
|
1054 |
+
"eval_runtime": 4.948,
|
1055 |
+
"eval_samples_per_second": 57.801,
|
1056 |
+
"eval_steps_per_second": 0.606,
|
1057 |
+
"step": 360
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 112.0,
|
1061 |
+
"eval_accuracy": 0.6153846153846154,
|
1062 |
+
"eval_loss": 1.0491102933883667,
|
1063 |
+
"eval_runtime": 4.1434,
|
1064 |
+
"eval_samples_per_second": 69.026,
|
1065 |
+
"eval_steps_per_second": 0.724,
|
1066 |
+
"step": 364
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 112.92,
|
1070 |
+
"eval_accuracy": 0.6118881118881119,
|
1071 |
+
"eval_loss": 1.044057011604309,
|
1072 |
+
"eval_runtime": 4.3774,
|
1073 |
+
"eval_samples_per_second": 65.336,
|
1074 |
+
"eval_steps_per_second": 0.685,
|
1075 |
+
"step": 367
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 113.85,
|
1079 |
+
"eval_accuracy": 0.6118881118881119,
|
1080 |
+
"eval_loss": 1.0357924699783325,
|
1081 |
+
"eval_runtime": 4.7038,
|
1082 |
+
"eval_samples_per_second": 60.801,
|
1083 |
+
"eval_steps_per_second": 0.638,
|
1084 |
+
"step": 370
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 114.77,
|
1088 |
+
"eval_accuracy": 0.6223776223776224,
|
1089 |
+
"eval_loss": 1.0194157361984253,
|
1090 |
+
"eval_runtime": 5.0902,
|
1091 |
+
"eval_samples_per_second": 56.187,
|
1092 |
+
"eval_steps_per_second": 0.589,
|
1093 |
+
"step": 373
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 116.0,
|
1097 |
+
"eval_accuracy": 0.6293706293706294,
|
1098 |
+
"eval_loss": 1.0034115314483643,
|
1099 |
+
"eval_runtime": 4.386,
|
1100 |
+
"eval_samples_per_second": 65.208,
|
1101 |
+
"eval_steps_per_second": 0.684,
|
1102 |
+
"step": 377
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 116.92,
|
1106 |
+
"eval_accuracy": 0.6258741258741258,
|
1107 |
+
"eval_loss": 0.9991269707679749,
|
1108 |
+
"eval_runtime": 5.2708,
|
1109 |
+
"eval_samples_per_second": 54.261,
|
1110 |
+
"eval_steps_per_second": 0.569,
|
1111 |
+
"step": 380
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 117.85,
|
1115 |
+
"eval_accuracy": 0.6258741258741258,
|
1116 |
+
"eval_loss": 0.9959561824798584,
|
1117 |
+
"eval_runtime": 4.7556,
|
1118 |
+
"eval_samples_per_second": 60.139,
|
1119 |
+
"eval_steps_per_second": 0.631,
|
1120 |
+
"step": 383
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 118.77,
|
1124 |
+
"eval_accuracy": 0.6293706293706294,
|
1125 |
+
"eval_loss": 0.9911425113677979,
|
1126 |
+
"eval_runtime": 4.0817,
|
1127 |
+
"eval_samples_per_second": 70.068,
|
1128 |
+
"eval_steps_per_second": 0.735,
|
1129 |
+
"step": 386
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 120.0,
|
1133 |
+
"eval_accuracy": 0.6433566433566433,
|
1134 |
+
"eval_loss": 0.9834115505218506,
|
1135 |
+
"eval_runtime": 4.0058,
|
1136 |
+
"eval_samples_per_second": 71.396,
|
1137 |
+
"eval_steps_per_second": 0.749,
|
1138 |
+
"step": 390
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 120.92,
|
1142 |
+
"eval_accuracy": 0.6433566433566433,
|
1143 |
+
"eval_loss": 0.9775691628456116,
|
1144 |
+
"eval_runtime": 4.3856,
|
1145 |
+
"eval_samples_per_second": 65.214,
|
1146 |
+
"eval_steps_per_second": 0.684,
|
1147 |
+
"step": 393
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 121.85,
|
1151 |
+
"eval_accuracy": 0.6433566433566433,
|
1152 |
+
"eval_loss": 0.9772741198539734,
|
1153 |
+
"eval_runtime": 4.6976,
|
1154 |
+
"eval_samples_per_second": 60.882,
|
1155 |
+
"eval_steps_per_second": 0.639,
|
1156 |
+
"step": 396
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 122.77,
|
1160 |
+
"eval_accuracy": 0.6433566433566433,
|
1161 |
+
"eval_loss": 0.9734641909599304,
|
1162 |
+
"eval_runtime": 4.6506,
|
1163 |
+
"eval_samples_per_second": 61.498,
|
1164 |
+
"eval_steps_per_second": 0.645,
|
1165 |
+
"step": 399
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 123.08,
|
1169 |
+
"grad_norm": 27630.990234375,
|
1170 |
+
"learning_rate": 2.0634920634920633e-05,
|
1171 |
+
"loss": 0.7786,
|
1172 |
+
"step": 400
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 124.0,
|
1176 |
+
"eval_accuracy": 0.6398601398601399,
|
1177 |
+
"eval_loss": 0.9730696082115173,
|
1178 |
+
"eval_runtime": 3.9976,
|
1179 |
+
"eval_samples_per_second": 71.542,
|
1180 |
+
"eval_steps_per_second": 0.75,
|
1181 |
+
"step": 403
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 124.92,
|
1185 |
+
"eval_accuracy": 0.6433566433566433,
|
1186 |
+
"eval_loss": 0.9727755188941956,
|
1187 |
+
"eval_runtime": 4.0553,
|
1188 |
+
"eval_samples_per_second": 70.525,
|
1189 |
+
"eval_steps_per_second": 0.74,
|
1190 |
+
"step": 406
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 125.85,
|
1194 |
+
"eval_accuracy": 0.6573426573426573,
|
1195 |
+
"eval_loss": 0.9657326936721802,
|
1196 |
+
"eval_runtime": 4.4666,
|
1197 |
+
"eval_samples_per_second": 64.031,
|
1198 |
+
"eval_steps_per_second": 0.672,
|
1199 |
+
"step": 409
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 126.77,
|
1203 |
+
"eval_accuracy": 0.6573426573426573,
|
1204 |
+
"eval_loss": 0.9547586441040039,
|
1205 |
+
"eval_runtime": 4.6999,
|
1206 |
+
"eval_samples_per_second": 60.852,
|
1207 |
+
"eval_steps_per_second": 0.638,
|
1208 |
+
"step": 412
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 128.0,
|
1212 |
+
"eval_accuracy": 0.6643356643356644,
|
1213 |
+
"eval_loss": 0.942358136177063,
|
1214 |
+
"eval_runtime": 4.8438,
|
1215 |
+
"eval_samples_per_second": 59.045,
|
1216 |
+
"eval_steps_per_second": 0.619,
|
1217 |
+
"step": 416
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 128.92,
|
1221 |
+
"eval_accuracy": 0.6678321678321678,
|
1222 |
+
"eval_loss": 0.9391436576843262,
|
1223 |
+
"eval_runtime": 4.4506,
|
1224 |
+
"eval_samples_per_second": 64.261,
|
1225 |
+
"eval_steps_per_second": 0.674,
|
1226 |
+
"step": 419
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 129.85,
|
1230 |
+
"eval_accuracy": 0.6678321678321678,
|
1231 |
+
"eval_loss": 0.9418392777442932,
|
1232 |
+
"eval_runtime": 4.2912,
|
1233 |
+
"eval_samples_per_second": 66.648,
|
1234 |
+
"eval_steps_per_second": 0.699,
|
1235 |
+
"step": 422
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 130.77,
|
1239 |
+
"eval_accuracy": 0.6608391608391608,
|
1240 |
+
"eval_loss": 0.9476207494735718,
|
1241 |
+
"eval_runtime": 4.7281,
|
1242 |
+
"eval_samples_per_second": 60.49,
|
1243 |
+
"eval_steps_per_second": 0.635,
|
1244 |
+
"step": 425
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 132.0,
|
1248 |
+
"eval_accuracy": 0.6643356643356644,
|
1249 |
+
"eval_loss": 0.9457269310951233,
|
1250 |
+
"eval_runtime": 4.314,
|
1251 |
+
"eval_samples_per_second": 66.295,
|
1252 |
+
"eval_steps_per_second": 0.695,
|
1253 |
+
"step": 429
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 132.92,
|
1257 |
+
"eval_accuracy": 0.6643356643356644,
|
1258 |
+
"eval_loss": 0.941338062286377,
|
1259 |
+
"eval_runtime": 3.916,
|
1260 |
+
"eval_samples_per_second": 73.033,
|
1261 |
+
"eval_steps_per_second": 0.766,
|
1262 |
+
"step": 432
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 133.85,
|
1266 |
+
"eval_accuracy": 0.6678321678321678,
|
1267 |
+
"eval_loss": 0.9334166049957275,
|
1268 |
+
"eval_runtime": 4.5886,
|
1269 |
+
"eval_samples_per_second": 62.329,
|
1270 |
+
"eval_steps_per_second": 0.654,
|
1271 |
+
"step": 435
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 134.77,
|
1275 |
+
"eval_accuracy": 0.6678321678321678,
|
1276 |
+
"eval_loss": 0.9328890442848206,
|
1277 |
+
"eval_runtime": 4.1417,
|
1278 |
+
"eval_samples_per_second": 69.054,
|
1279 |
+
"eval_steps_per_second": 0.724,
|
1280 |
+
"step": 438
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 136.0,
|
1284 |
+
"eval_accuracy": 0.6713286713286714,
|
1285 |
+
"eval_loss": 0.9333996772766113,
|
1286 |
+
"eval_runtime": 4.538,
|
1287 |
+
"eval_samples_per_second": 63.023,
|
1288 |
+
"eval_steps_per_second": 0.661,
|
1289 |
+
"step": 442
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 136.92,
|
1293 |
+
"eval_accuracy": 0.6713286713286714,
|
1294 |
+
"eval_loss": 0.9264596700668335,
|
1295 |
+
"eval_runtime": 4.6642,
|
1296 |
+
"eval_samples_per_second": 61.318,
|
1297 |
+
"eval_steps_per_second": 0.643,
|
1298 |
+
"step": 445
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 137.85,
|
1302 |
+
"eval_accuracy": 0.6713286713286714,
|
1303 |
+
"eval_loss": 0.9186587929725647,
|
1304 |
+
"eval_runtime": 4.5978,
|
1305 |
+
"eval_samples_per_second": 62.204,
|
1306 |
+
"eval_steps_per_second": 0.652,
|
1307 |
+
"step": 448
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 138.46,
|
1311 |
+
"grad_norm": 34684.0078125,
|
1312 |
+
"learning_rate": 1.9047619047619046e-05,
|
1313 |
+
"loss": 0.7133,
|
1314 |
+
"step": 450
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 138.77,
|
1318 |
+
"eval_accuracy": 0.6678321678321678,
|
1319 |
+
"eval_loss": 0.916916012763977,
|
1320 |
+
"eval_runtime": 4.1718,
|
1321 |
+
"eval_samples_per_second": 68.556,
|
1322 |
+
"eval_steps_per_second": 0.719,
|
1323 |
+
"step": 451
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 140.0,
|
1327 |
+
"eval_accuracy": 0.6713286713286714,
|
1328 |
+
"eval_loss": 0.9141567349433899,
|
1329 |
+
"eval_runtime": 4.8158,
|
1330 |
+
"eval_samples_per_second": 59.388,
|
1331 |
+
"eval_steps_per_second": 0.623,
|
1332 |
+
"step": 455
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 140.92,
|
1336 |
+
"eval_accuracy": 0.6713286713286714,
|
1337 |
+
"eval_loss": 0.9131244421005249,
|
1338 |
+
"eval_runtime": 4.3984,
|
1339 |
+
"eval_samples_per_second": 65.024,
|
1340 |
+
"eval_steps_per_second": 0.682,
|
1341 |
+
"step": 458
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 141.85,
|
1345 |
+
"eval_accuracy": 0.6783216783216783,
|
1346 |
+
"eval_loss": 0.9160958528518677,
|
1347 |
+
"eval_runtime": 3.9738,
|
1348 |
+
"eval_samples_per_second": 71.971,
|
1349 |
+
"eval_steps_per_second": 0.755,
|
1350 |
+
"step": 461
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 142.77,
|
1354 |
+
"eval_accuracy": 0.6678321678321678,
|
1355 |
+
"eval_loss": 0.9223662614822388,
|
1356 |
+
"eval_runtime": 3.7836,
|
1357 |
+
"eval_samples_per_second": 75.589,
|
1358 |
+
"eval_steps_per_second": 0.793,
|
1359 |
+
"step": 464
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 144.0,
|
1363 |
+
"eval_accuracy": 0.6748251748251748,
|
1364 |
+
"eval_loss": 0.9139449000358582,
|
1365 |
+
"eval_runtime": 4.0554,
|
1366 |
+
"eval_samples_per_second": 70.522,
|
1367 |
+
"eval_steps_per_second": 0.74,
|
1368 |
+
"step": 468
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 144.92,
|
1372 |
+
"eval_accuracy": 0.6748251748251748,
|
1373 |
+
"eval_loss": 0.9089756608009338,
|
1374 |
+
"eval_runtime": 4.4989,
|
1375 |
+
"eval_samples_per_second": 63.571,
|
1376 |
+
"eval_steps_per_second": 0.667,
|
1377 |
+
"step": 471
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 145.85,
|
1381 |
+
"eval_accuracy": 0.6713286713286714,
|
1382 |
+
"eval_loss": 0.9072948694229126,
|
1383 |
+
"eval_runtime": 3.984,
|
1384 |
+
"eval_samples_per_second": 71.788,
|
1385 |
+
"eval_steps_per_second": 0.753,
|
1386 |
+
"step": 474
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 146.77,
|
1390 |
+
"eval_accuracy": 0.6608391608391608,
|
1391 |
+
"eval_loss": 0.9110231995582581,
|
1392 |
+
"eval_runtime": 4.596,
|
1393 |
+
"eval_samples_per_second": 62.228,
|
1394 |
+
"eval_steps_per_second": 0.653,
|
1395 |
+
"step": 477
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 148.0,
|
1399 |
+
"eval_accuracy": 0.6573426573426573,
|
1400 |
+
"eval_loss": 0.9167369604110718,
|
1401 |
+
"eval_runtime": 4.7051,
|
1402 |
+
"eval_samples_per_second": 60.785,
|
1403 |
+
"eval_steps_per_second": 0.638,
|
1404 |
+
"step": 481
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 148.92,
|
1408 |
+
"eval_accuracy": 0.6643356643356644,
|
1409 |
+
"eval_loss": 0.9118071794509888,
|
1410 |
+
"eval_runtime": 3.9295,
|
1411 |
+
"eval_samples_per_second": 72.783,
|
1412 |
+
"eval_steps_per_second": 0.763,
|
1413 |
+
"step": 484
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 149.85,
|
1417 |
+
"eval_accuracy": 0.6713286713286714,
|
1418 |
+
"eval_loss": 0.8996461629867554,
|
1419 |
+
"eval_runtime": 4.5063,
|
1420 |
+
"eval_samples_per_second": 63.466,
|
1421 |
+
"eval_steps_per_second": 0.666,
|
1422 |
+
"step": 487
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 150.77,
|
1426 |
+
"eval_accuracy": 0.6748251748251748,
|
1427 |
+
"eval_loss": 0.8903929591178894,
|
1428 |
+
"eval_runtime": 4.0074,
|
1429 |
+
"eval_samples_per_second": 71.369,
|
1430 |
+
"eval_steps_per_second": 0.749,
|
1431 |
+
"step": 490
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 152.0,
|
1435 |
+
"eval_accuracy": 0.6748251748251748,
|
1436 |
+
"eval_loss": 0.8889052867889404,
|
1437 |
+
"eval_runtime": 4.2482,
|
1438 |
+
"eval_samples_per_second": 67.323,
|
1439 |
+
"eval_steps_per_second": 0.706,
|
1440 |
+
"step": 494
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 152.92,
|
1444 |
+
"eval_accuracy": 0.6713286713286714,
|
1445 |
+
"eval_loss": 0.889894425868988,
|
1446 |
+
"eval_runtime": 4.7658,
|
1447 |
+
"eval_samples_per_second": 60.011,
|
1448 |
+
"eval_steps_per_second": 0.629,
|
1449 |
+
"step": 497
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 153.85,
|
1453 |
+
"grad_norm": 27670.865234375,
|
1454 |
+
"learning_rate": 1.746031746031746e-05,
|
1455 |
+
"loss": 0.6674,
|
1456 |
+
"step": 500
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 153.85,
|
1460 |
+
"eval_accuracy": 0.6748251748251748,
|
1461 |
+
"eval_loss": 0.887377917766571,
|
1462 |
+
"eval_runtime": 4.6951,
|
1463 |
+
"eval_samples_per_second": 60.915,
|
1464 |
+
"eval_steps_per_second": 0.639,
|
1465 |
+
"step": 500
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 154.77,
|
1469 |
+
"eval_accuracy": 0.6748251748251748,
|
1470 |
+
"eval_loss": 0.8873924016952515,
|
1471 |
+
"eval_runtime": 3.8042,
|
1472 |
+
"eval_samples_per_second": 75.181,
|
1473 |
+
"eval_steps_per_second": 0.789,
|
1474 |
+
"step": 503
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 156.0,
|
1478 |
+
"eval_accuracy": 0.6748251748251748,
|
1479 |
+
"eval_loss": 0.8905075788497925,
|
1480 |
+
"eval_runtime": 3.9282,
|
1481 |
+
"eval_samples_per_second": 72.806,
|
1482 |
+
"eval_steps_per_second": 0.764,
|
1483 |
+
"step": 507
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 156.92,
|
1487 |
+
"eval_accuracy": 0.6783216783216783,
|
1488 |
+
"eval_loss": 0.8881194591522217,
|
1489 |
+
"eval_runtime": 4.2085,
|
1490 |
+
"eval_samples_per_second": 67.957,
|
1491 |
+
"eval_steps_per_second": 0.713,
|
1492 |
+
"step": 510
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 157.85,
|
1496 |
+
"eval_accuracy": 0.6748251748251748,
|
1497 |
+
"eval_loss": 0.882903516292572,
|
1498 |
+
"eval_runtime": 5.345,
|
1499 |
+
"eval_samples_per_second": 53.508,
|
1500 |
+
"eval_steps_per_second": 0.561,
|
1501 |
+
"step": 513
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 158.77,
|
1505 |
+
"eval_accuracy": 0.6783216783216783,
|
1506 |
+
"eval_loss": 0.8809071183204651,
|
1507 |
+
"eval_runtime": 4.4142,
|
1508 |
+
"eval_samples_per_second": 64.791,
|
1509 |
+
"eval_steps_per_second": 0.68,
|
1510 |
+
"step": 516
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 160.0,
|
1514 |
+
"eval_accuracy": 0.6783216783216783,
|
1515 |
+
"eval_loss": 0.8780828714370728,
|
1516 |
+
"eval_runtime": 3.6498,
|
1517 |
+
"eval_samples_per_second": 78.361,
|
1518 |
+
"eval_steps_per_second": 0.822,
|
1519 |
+
"step": 520
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 160.92,
|
1523 |
+
"eval_accuracy": 0.6818181818181818,
|
1524 |
+
"eval_loss": 0.8776365518569946,
|
1525 |
+
"eval_runtime": 3.4668,
|
1526 |
+
"eval_samples_per_second": 82.497,
|
1527 |
+
"eval_steps_per_second": 0.865,
|
1528 |
+
"step": 523
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 161.85,
|
1532 |
+
"eval_accuracy": 0.6783216783216783,
|
1533 |
+
"eval_loss": 0.8795685768127441,
|
1534 |
+
"eval_runtime": 3.8004,
|
1535 |
+
"eval_samples_per_second": 75.256,
|
1536 |
+
"eval_steps_per_second": 0.789,
|
1537 |
+
"step": 526
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 162.77,
|
1541 |
+
"eval_accuracy": 0.6818181818181818,
|
1542 |
+
"eval_loss": 0.8795468807220459,
|
1543 |
+
"eval_runtime": 3.8694,
|
1544 |
+
"eval_samples_per_second": 73.913,
|
1545 |
+
"eval_steps_per_second": 0.775,
|
1546 |
+
"step": 529
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 164.0,
|
1550 |
+
"eval_accuracy": 0.6783216783216783,
|
1551 |
+
"eval_loss": 0.8797011971473694,
|
1552 |
+
"eval_runtime": 4.1348,
|
1553 |
+
"eval_samples_per_second": 69.169,
|
1554 |
+
"eval_steps_per_second": 0.726,
|
1555 |
+
"step": 533
|
1556 |
+
},
|
1557 |
+
{
|
1558 |
+
"epoch": 164.92,
|
1559 |
+
"eval_accuracy": 0.6783216783216783,
|
1560 |
+
"eval_loss": 0.8706856966018677,
|
1561 |
+
"eval_runtime": 4.5762,
|
1562 |
+
"eval_samples_per_second": 62.498,
|
1563 |
+
"eval_steps_per_second": 0.656,
|
1564 |
+
"step": 536
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 165.85,
|
1568 |
+
"eval_accuracy": 0.6783216783216783,
|
1569 |
+
"eval_loss": 0.8697258830070496,
|
1570 |
+
"eval_runtime": 3.5794,
|
1571 |
+
"eval_samples_per_second": 79.901,
|
1572 |
+
"eval_steps_per_second": 0.838,
|
1573 |
+
"step": 539
|
1574 |
+
},
|
1575 |
+
{
|
1576 |
+
"epoch": 166.77,
|
1577 |
+
"eval_accuracy": 0.6783216783216783,
|
1578 |
+
"eval_loss": 0.8723975419998169,
|
1579 |
+
"eval_runtime": 5.761,
|
1580 |
+
"eval_samples_per_second": 49.644,
|
1581 |
+
"eval_steps_per_second": 0.521,
|
1582 |
+
"step": 542
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"epoch": 168.0,
|
1586 |
+
"eval_accuracy": 0.6748251748251748,
|
1587 |
+
"eval_loss": 0.870445966720581,
|
1588 |
+
"eval_runtime": 4.2907,
|
1589 |
+
"eval_samples_per_second": 66.656,
|
1590 |
+
"eval_steps_per_second": 0.699,
|
1591 |
+
"step": 546
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 168.92,
|
1595 |
+
"eval_accuracy": 0.6748251748251748,
|
1596 |
+
"eval_loss": 0.8693636655807495,
|
1597 |
+
"eval_runtime": 4.5637,
|
1598 |
+
"eval_samples_per_second": 62.668,
|
1599 |
+
"eval_steps_per_second": 0.657,
|
1600 |
+
"step": 549
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 169.23,
|
1604 |
+
"grad_norm": 67537.203125,
|
1605 |
+
"learning_rate": 1.5873015873015872e-05,
|
1606 |
+
"loss": 0.6305,
|
1607 |
+
"step": 550
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 169.85,
|
1611 |
+
"eval_accuracy": 0.6748251748251748,
|
1612 |
+
"eval_loss": 0.8739539980888367,
|
1613 |
+
"eval_runtime": 4.5496,
|
1614 |
+
"eval_samples_per_second": 62.862,
|
1615 |
+
"eval_steps_per_second": 0.659,
|
1616 |
+
"step": 552
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 170.77,
|
1620 |
+
"eval_accuracy": 0.6748251748251748,
|
1621 |
+
"eval_loss": 0.8713040947914124,
|
1622 |
+
"eval_runtime": 4.3907,
|
1623 |
+
"eval_samples_per_second": 65.138,
|
1624 |
+
"eval_steps_per_second": 0.683,
|
1625 |
+
"step": 555
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 172.0,
|
1629 |
+
"eval_accuracy": 0.6783216783216783,
|
1630 |
+
"eval_loss": 0.8682331442832947,
|
1631 |
+
"eval_runtime": 4.1777,
|
1632 |
+
"eval_samples_per_second": 68.459,
|
1633 |
+
"eval_steps_per_second": 0.718,
|
1634 |
+
"step": 559
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 172.92,
|
1638 |
+
"eval_accuracy": 0.6783216783216783,
|
1639 |
+
"eval_loss": 0.868798553943634,
|
1640 |
+
"eval_runtime": 3.5218,
|
1641 |
+
"eval_samples_per_second": 81.207,
|
1642 |
+
"eval_steps_per_second": 0.852,
|
1643 |
+
"step": 562
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 173.85,
|
1647 |
+
"eval_accuracy": 0.6818181818181818,
|
1648 |
+
"eval_loss": 0.8692768216133118,
|
1649 |
+
"eval_runtime": 5.0064,
|
1650 |
+
"eval_samples_per_second": 57.127,
|
1651 |
+
"eval_steps_per_second": 0.599,
|
1652 |
+
"step": 565
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 174.77,
|
1656 |
+
"eval_accuracy": 0.6783216783216783,
|
1657 |
+
"eval_loss": 0.874369204044342,
|
1658 |
+
"eval_runtime": 4.1257,
|
1659 |
+
"eval_samples_per_second": 69.322,
|
1660 |
+
"eval_steps_per_second": 0.727,
|
1661 |
+
"step": 568
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 176.0,
|
1665 |
+
"eval_accuracy": 0.6783216783216783,
|
1666 |
+
"eval_loss": 0.8759630918502808,
|
1667 |
+
"eval_runtime": 4.4848,
|
1668 |
+
"eval_samples_per_second": 63.771,
|
1669 |
+
"eval_steps_per_second": 0.669,
|
1670 |
+
"step": 572
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 176.92,
|
1674 |
+
"eval_accuracy": 0.6853146853146853,
|
1675 |
+
"eval_loss": 0.8696449398994446,
|
1676 |
+
"eval_runtime": 4.1683,
|
1677 |
+
"eval_samples_per_second": 68.613,
|
1678 |
+
"eval_steps_per_second": 0.72,
|
1679 |
+
"step": 575
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 177.85,
|
1683 |
+
"eval_accuracy": 0.6853146853146853,
|
1684 |
+
"eval_loss": 0.8668593764305115,
|
1685 |
+
"eval_runtime": 4.3889,
|
1686 |
+
"eval_samples_per_second": 65.165,
|
1687 |
+
"eval_steps_per_second": 0.684,
|
1688 |
+
"step": 578
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 178.77,
|
1692 |
+
"eval_accuracy": 0.6853146853146853,
|
1693 |
+
"eval_loss": 0.8641146421432495,
|
1694 |
+
"eval_runtime": 4.0742,
|
1695 |
+
"eval_samples_per_second": 70.197,
|
1696 |
+
"eval_steps_per_second": 0.736,
|
1697 |
+
"step": 581
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 180.0,
|
1701 |
+
"eval_accuracy": 0.6713286713286714,
|
1702 |
+
"eval_loss": 0.8696537613868713,
|
1703 |
+
"eval_runtime": 4.1345,
|
1704 |
+
"eval_samples_per_second": 69.173,
|
1705 |
+
"eval_steps_per_second": 0.726,
|
1706 |
+
"step": 585
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 180.92,
|
1710 |
+
"eval_accuracy": 0.6748251748251748,
|
1711 |
+
"eval_loss": 0.8678367733955383,
|
1712 |
+
"eval_runtime": 3.994,
|
1713 |
+
"eval_samples_per_second": 71.607,
|
1714 |
+
"eval_steps_per_second": 0.751,
|
1715 |
+
"step": 588
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 181.85,
|
1719 |
+
"eval_accuracy": 0.6818181818181818,
|
1720 |
+
"eval_loss": 0.8620542287826538,
|
1721 |
+
"eval_runtime": 4.32,
|
1722 |
+
"eval_samples_per_second": 66.204,
|
1723 |
+
"eval_steps_per_second": 0.694,
|
1724 |
+
"step": 591
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 182.77,
|
1728 |
+
"eval_accuracy": 0.6888111888111889,
|
1729 |
+
"eval_loss": 0.8557011485099792,
|
1730 |
+
"eval_runtime": 4.7717,
|
1731 |
+
"eval_samples_per_second": 59.937,
|
1732 |
+
"eval_steps_per_second": 0.629,
|
1733 |
+
"step": 594
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 184.0,
|
1737 |
+
"eval_accuracy": 0.6888111888111889,
|
1738 |
+
"eval_loss": 0.848114013671875,
|
1739 |
+
"eval_runtime": 4.0948,
|
1740 |
+
"eval_samples_per_second": 69.845,
|
1741 |
+
"eval_steps_per_second": 0.733,
|
1742 |
+
"step": 598
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 184.62,
|
1746 |
+
"grad_norm": 36502.2421875,
|
1747 |
+
"learning_rate": 1.4285714285714285e-05,
|
1748 |
+
"loss": 0.6095,
|
1749 |
+
"step": 600
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 184.92,
|
1753 |
+
"eval_accuracy": 0.6888111888111889,
|
1754 |
+
"eval_loss": 0.8428906798362732,
|
1755 |
+
"eval_runtime": 4.6887,
|
1756 |
+
"eval_samples_per_second": 60.997,
|
1757 |
+
"eval_steps_per_second": 0.64,
|
1758 |
+
"step": 601
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 185.85,
|
1762 |
+
"eval_accuracy": 0.6888111888111889,
|
1763 |
+
"eval_loss": 0.8413122892379761,
|
1764 |
+
"eval_runtime": 3.8998,
|
1765 |
+
"eval_samples_per_second": 73.337,
|
1766 |
+
"eval_steps_per_second": 0.769,
|
1767 |
+
"step": 604
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 186.77,
|
1771 |
+
"eval_accuracy": 0.6923076923076923,
|
1772 |
+
"eval_loss": 0.8402045965194702,
|
1773 |
+
"eval_runtime": 4.1508,
|
1774 |
+
"eval_samples_per_second": 68.903,
|
1775 |
+
"eval_steps_per_second": 0.723,
|
1776 |
+
"step": 607
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 188.0,
|
1780 |
+
"eval_accuracy": 0.6888111888111889,
|
1781 |
+
"eval_loss": 0.8415275812149048,
|
1782 |
+
"eval_runtime": 4.4966,
|
1783 |
+
"eval_samples_per_second": 63.603,
|
1784 |
+
"eval_steps_per_second": 0.667,
|
1785 |
+
"step": 611
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 188.92,
|
1789 |
+
"eval_accuracy": 0.6923076923076923,
|
1790 |
+
"eval_loss": 0.8409523963928223,
|
1791 |
+
"eval_runtime": 4.0007,
|
1792 |
+
"eval_samples_per_second": 71.488,
|
1793 |
+
"eval_steps_per_second": 0.75,
|
1794 |
+
"step": 614
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 189.85,
|
1798 |
+
"eval_accuracy": 0.6853146853146853,
|
1799 |
+
"eval_loss": 0.8388563394546509,
|
1800 |
+
"eval_runtime": 4.5212,
|
1801 |
+
"eval_samples_per_second": 63.257,
|
1802 |
+
"eval_steps_per_second": 0.664,
|
1803 |
+
"step": 617
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 190.77,
|
1807 |
+
"eval_accuracy": 0.6853146853146853,
|
1808 |
+
"eval_loss": 0.8353860378265381,
|
1809 |
+
"eval_runtime": 4.6112,
|
1810 |
+
"eval_samples_per_second": 62.023,
|
1811 |
+
"eval_steps_per_second": 0.651,
|
1812 |
+
"step": 620
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 192.0,
|
1816 |
+
"eval_accuracy": 0.6888111888111889,
|
1817 |
+
"eval_loss": 0.8356983661651611,
|
1818 |
+
"eval_runtime": 4.6563,
|
1819 |
+
"eval_samples_per_second": 61.422,
|
1820 |
+
"eval_steps_per_second": 0.644,
|
1821 |
+
"step": 624
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 192.92,
|
1825 |
+
"eval_accuracy": 0.6958041958041958,
|
1826 |
+
"eval_loss": 0.8400572538375854,
|
1827 |
+
"eval_runtime": 5.369,
|
1828 |
+
"eval_samples_per_second": 53.269,
|
1829 |
+
"eval_steps_per_second": 0.559,
|
1830 |
+
"step": 627
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 193.85,
|
1834 |
+
"eval_accuracy": 0.6958041958041958,
|
1835 |
+
"eval_loss": 0.844892144203186,
|
1836 |
+
"eval_runtime": 4.0956,
|
1837 |
+
"eval_samples_per_second": 69.831,
|
1838 |
+
"eval_steps_per_second": 0.732,
|
1839 |
+
"step": 630
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 194.77,
|
1843 |
+
"eval_accuracy": 0.6958041958041958,
|
1844 |
+
"eval_loss": 0.8478845357894897,
|
1845 |
+
"eval_runtime": 4.6385,
|
1846 |
+
"eval_samples_per_second": 61.658,
|
1847 |
+
"eval_steps_per_second": 0.647,
|
1848 |
+
"step": 633
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 196.0,
|
1852 |
+
"eval_accuracy": 0.6923076923076923,
|
1853 |
+
"eval_loss": 0.8454630374908447,
|
1854 |
+
"eval_runtime": 4.4423,
|
1855 |
+
"eval_samples_per_second": 64.381,
|
1856 |
+
"eval_steps_per_second": 0.675,
|
1857 |
+
"step": 637
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 196.92,
|
1861 |
+
"eval_accuracy": 0.6923076923076923,
|
1862 |
+
"eval_loss": 0.8421822190284729,
|
1863 |
+
"eval_runtime": 3.8632,
|
1864 |
+
"eval_samples_per_second": 74.032,
|
1865 |
+
"eval_steps_per_second": 0.777,
|
1866 |
+
"step": 640
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 197.85,
|
1870 |
+
"eval_accuracy": 0.6923076923076923,
|
1871 |
+
"eval_loss": 0.8425044417381287,
|
1872 |
+
"eval_runtime": 5.1031,
|
1873 |
+
"eval_samples_per_second": 56.044,
|
1874 |
+
"eval_steps_per_second": 0.588,
|
1875 |
+
"step": 643
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 198.77,
|
1879 |
+
"eval_accuracy": 0.6923076923076923,
|
1880 |
+
"eval_loss": 0.8436546325683594,
|
1881 |
+
"eval_runtime": 4.9685,
|
1882 |
+
"eval_samples_per_second": 57.562,
|
1883 |
+
"eval_steps_per_second": 0.604,
|
1884 |
+
"step": 646
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 200.0,
|
1888 |
+
"grad_norm": 66285.84375,
|
1889 |
+
"learning_rate": 1.2698412698412699e-05,
|
1890 |
+
"loss": 0.5908,
|
1891 |
+
"step": 650
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 200.0,
|
1895 |
+
"eval_accuracy": 0.6958041958041958,
|
1896 |
+
"eval_loss": 0.8366544246673584,
|
1897 |
+
"eval_runtime": 4.3292,
|
1898 |
+
"eval_samples_per_second": 66.063,
|
1899 |
+
"eval_steps_per_second": 0.693,
|
1900 |
+
"step": 650
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 200.92,
|
1904 |
+
"eval_accuracy": 0.6993006993006993,
|
1905 |
+
"eval_loss": 0.834704577922821,
|
1906 |
+
"eval_runtime": 4.7887,
|
1907 |
+
"eval_samples_per_second": 59.724,
|
1908 |
+
"eval_steps_per_second": 0.626,
|
1909 |
+
"step": 653
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 201.85,
|
1913 |
+
"eval_accuracy": 0.6958041958041958,
|
1914 |
+
"eval_loss": 0.8286824226379395,
|
1915 |
+
"eval_runtime": 4.388,
|
1916 |
+
"eval_samples_per_second": 65.178,
|
1917 |
+
"eval_steps_per_second": 0.684,
|
1918 |
+
"step": 656
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 202.77,
|
1922 |
+
"eval_accuracy": 0.6923076923076923,
|
1923 |
+
"eval_loss": 0.8259890079498291,
|
1924 |
+
"eval_runtime": 3.7365,
|
1925 |
+
"eval_samples_per_second": 76.543,
|
1926 |
+
"eval_steps_per_second": 0.803,
|
1927 |
+
"step": 659
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 204.0,
|
1931 |
+
"eval_accuracy": 0.6958041958041958,
|
1932 |
+
"eval_loss": 0.8263576626777649,
|
1933 |
+
"eval_runtime": 4.9175,
|
1934 |
+
"eval_samples_per_second": 58.159,
|
1935 |
+
"eval_steps_per_second": 0.61,
|
1936 |
+
"step": 663
|
1937 |
+
},
|
1938 |
+
{
|
1939 |
+
"epoch": 204.92,
|
1940 |
+
"eval_accuracy": 0.6958041958041958,
|
1941 |
+
"eval_loss": 0.8295235633850098,
|
1942 |
+
"eval_runtime": 4.3071,
|
1943 |
+
"eval_samples_per_second": 66.401,
|
1944 |
+
"eval_steps_per_second": 0.697,
|
1945 |
+
"step": 666
|
1946 |
+
},
|
1947 |
+
{
|
1948 |
+
"epoch": 205.85,
|
1949 |
+
"eval_accuracy": 0.6923076923076923,
|
1950 |
+
"eval_loss": 0.8301726579666138,
|
1951 |
+
"eval_runtime": 3.7499,
|
1952 |
+
"eval_samples_per_second": 76.268,
|
1953 |
+
"eval_steps_per_second": 0.8,
|
1954 |
+
"step": 669
|
1955 |
+
},
|
1956 |
+
{
|
1957 |
+
"epoch": 206.77,
|
1958 |
+
"eval_accuracy": 0.6923076923076923,
|
1959 |
+
"eval_loss": 0.828461766242981,
|
1960 |
+
"eval_runtime": 3.8022,
|
1961 |
+
"eval_samples_per_second": 75.219,
|
1962 |
+
"eval_steps_per_second": 0.789,
|
1963 |
+
"step": 672
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 208.0,
|
1967 |
+
"eval_accuracy": 0.6923076923076923,
|
1968 |
+
"eval_loss": 0.831078052520752,
|
1969 |
+
"eval_runtime": 4.2868,
|
1970 |
+
"eval_samples_per_second": 66.716,
|
1971 |
+
"eval_steps_per_second": 0.7,
|
1972 |
+
"step": 676
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"epoch": 208.92,
|
1976 |
+
"eval_accuracy": 0.6923076923076923,
|
1977 |
+
"eval_loss": 0.8320910334587097,
|
1978 |
+
"eval_runtime": 4.474,
|
1979 |
+
"eval_samples_per_second": 63.925,
|
1980 |
+
"eval_steps_per_second": 0.671,
|
1981 |
+
"step": 679
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 209.85,
|
1985 |
+
"eval_accuracy": 0.6923076923076923,
|
1986 |
+
"eval_loss": 0.8305550813674927,
|
1987 |
+
"eval_runtime": 4.1246,
|
1988 |
+
"eval_samples_per_second": 69.341,
|
1989 |
+
"eval_steps_per_second": 0.727,
|
1990 |
+
"step": 682
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 210.77,
|
1994 |
+
"eval_accuracy": 0.6923076923076923,
|
1995 |
+
"eval_loss": 0.8302868604660034,
|
1996 |
+
"eval_runtime": 4.9131,
|
1997 |
+
"eval_samples_per_second": 58.212,
|
1998 |
+
"eval_steps_per_second": 0.611,
|
1999 |
+
"step": 685
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 212.0,
|
2003 |
+
"eval_accuracy": 0.6993006993006993,
|
2004 |
+
"eval_loss": 0.8256182670593262,
|
2005 |
+
"eval_runtime": 4.5542,
|
2006 |
+
"eval_samples_per_second": 62.8,
|
2007 |
+
"eval_steps_per_second": 0.659,
|
2008 |
+
"step": 689
|
2009 |
+
},
|
2010 |
+
{
|
2011 |
+
"epoch": 212.92,
|
2012 |
+
"eval_accuracy": 0.6958041958041958,
|
2013 |
+
"eval_loss": 0.8230299353599548,
|
2014 |
+
"eval_runtime": 4.2845,
|
2015 |
+
"eval_samples_per_second": 66.752,
|
2016 |
+
"eval_steps_per_second": 0.7,
|
2017 |
+
"step": 692
|
2018 |
+
},
|
2019 |
+
{
|
2020 |
+
"epoch": 213.85,
|
2021 |
+
"eval_accuracy": 0.6958041958041958,
|
2022 |
+
"eval_loss": 0.819442868232727,
|
2023 |
+
"eval_runtime": 4.4153,
|
2024 |
+
"eval_samples_per_second": 64.775,
|
2025 |
+
"eval_steps_per_second": 0.679,
|
2026 |
+
"step": 695
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 214.77,
|
2030 |
+
"eval_accuracy": 0.6958041958041958,
|
2031 |
+
"eval_loss": 0.8183168768882751,
|
2032 |
+
"eval_runtime": 4.9672,
|
2033 |
+
"eval_samples_per_second": 57.577,
|
2034 |
+
"eval_steps_per_second": 0.604,
|
2035 |
+
"step": 698
|
2036 |
+
},
|
2037 |
+
{
|
2038 |
+
"epoch": 215.38,
|
2039 |
+
"grad_norm": 29832.03125,
|
2040 |
+
"learning_rate": 1.111111111111111e-05,
|
2041 |
+
"loss": 0.5763,
|
2042 |
+
"step": 700
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 216.0,
|
2046 |
+
"eval_accuracy": 0.6958041958041958,
|
2047 |
+
"eval_loss": 0.8231977224349976,
|
2048 |
+
"eval_runtime": 4.6354,
|
2049 |
+
"eval_samples_per_second": 61.699,
|
2050 |
+
"eval_steps_per_second": 0.647,
|
2051 |
+
"step": 702
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 216.92,
|
2055 |
+
"eval_accuracy": 0.6888111888111889,
|
2056 |
+
"eval_loss": 0.8236932158470154,
|
2057 |
+
"eval_runtime": 3.7182,
|
2058 |
+
"eval_samples_per_second": 76.92,
|
2059 |
+
"eval_steps_per_second": 0.807,
|
2060 |
+
"step": 705
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 217.85,
|
2064 |
+
"eval_accuracy": 0.6993006993006993,
|
2065 |
+
"eval_loss": 0.8195610642433167,
|
2066 |
+
"eval_runtime": 3.5502,
|
2067 |
+
"eval_samples_per_second": 80.56,
|
2068 |
+
"eval_steps_per_second": 0.845,
|
2069 |
+
"step": 708
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 218.77,
|
2073 |
+
"eval_accuracy": 0.6993006993006993,
|
2074 |
+
"eval_loss": 0.8142436742782593,
|
2075 |
+
"eval_runtime": 4.9155,
|
2076 |
+
"eval_samples_per_second": 58.184,
|
2077 |
+
"eval_steps_per_second": 0.61,
|
2078 |
+
"step": 711
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 220.0,
|
2082 |
+
"eval_accuracy": 0.6993006993006993,
|
2083 |
+
"eval_loss": 0.8115321397781372,
|
2084 |
+
"eval_runtime": 4.0939,
|
2085 |
+
"eval_samples_per_second": 69.86,
|
2086 |
+
"eval_steps_per_second": 0.733,
|
2087 |
+
"step": 715
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 220.92,
|
2091 |
+
"eval_accuracy": 0.6993006993006993,
|
2092 |
+
"eval_loss": 0.8130100965499878,
|
2093 |
+
"eval_runtime": 4.2197,
|
2094 |
+
"eval_samples_per_second": 67.777,
|
2095 |
+
"eval_steps_per_second": 0.711,
|
2096 |
+
"step": 718
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 221.85,
|
2100 |
+
"eval_accuracy": 0.7027972027972028,
|
2101 |
+
"eval_loss": 0.8156144022941589,
|
2102 |
+
"eval_runtime": 4.2344,
|
2103 |
+
"eval_samples_per_second": 67.542,
|
2104 |
+
"eval_steps_per_second": 0.708,
|
2105 |
+
"step": 721
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 222.77,
|
2109 |
+
"eval_accuracy": 0.6958041958041958,
|
2110 |
+
"eval_loss": 0.8200713992118835,
|
2111 |
+
"eval_runtime": 4.8181,
|
2112 |
+
"eval_samples_per_second": 59.36,
|
2113 |
+
"eval_steps_per_second": 0.623,
|
2114 |
+
"step": 724
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 224.0,
|
2118 |
+
"eval_accuracy": 0.6958041958041958,
|
2119 |
+
"eval_loss": 0.8227414488792419,
|
2120 |
+
"eval_runtime": 4.5671,
|
2121 |
+
"eval_samples_per_second": 62.621,
|
2122 |
+
"eval_steps_per_second": 0.657,
|
2123 |
+
"step": 728
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 224.92,
|
2127 |
+
"eval_accuracy": 0.6958041958041958,
|
2128 |
+
"eval_loss": 0.8232228755950928,
|
2129 |
+
"eval_runtime": 5.221,
|
2130 |
+
"eval_samples_per_second": 54.779,
|
2131 |
+
"eval_steps_per_second": 0.575,
|
2132 |
+
"step": 731
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 225.85,
|
2136 |
+
"eval_accuracy": 0.6923076923076923,
|
2137 |
+
"eval_loss": 0.8198325634002686,
|
2138 |
+
"eval_runtime": 4.2136,
|
2139 |
+
"eval_samples_per_second": 67.875,
|
2140 |
+
"eval_steps_per_second": 0.712,
|
2141 |
+
"step": 734
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"epoch": 226.77,
|
2145 |
+
"eval_accuracy": 0.6923076923076923,
|
2146 |
+
"eval_loss": 0.8151125311851501,
|
2147 |
+
"eval_runtime": 4.8801,
|
2148 |
+
"eval_samples_per_second": 58.606,
|
2149 |
+
"eval_steps_per_second": 0.615,
|
2150 |
+
"step": 737
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 228.0,
|
2154 |
+
"eval_accuracy": 0.6923076923076923,
|
2155 |
+
"eval_loss": 0.8136410713195801,
|
2156 |
+
"eval_runtime": 5.2461,
|
2157 |
+
"eval_samples_per_second": 54.516,
|
2158 |
+
"eval_steps_per_second": 0.572,
|
2159 |
+
"step": 741
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 228.92,
|
2163 |
+
"eval_accuracy": 0.6923076923076923,
|
2164 |
+
"eval_loss": 0.8134062886238098,
|
2165 |
+
"eval_runtime": 3.6429,
|
2166 |
+
"eval_samples_per_second": 78.509,
|
2167 |
+
"eval_steps_per_second": 0.824,
|
2168 |
+
"step": 744
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 229.85,
|
2172 |
+
"eval_accuracy": 0.6958041958041958,
|
2173 |
+
"eval_loss": 0.8123226761817932,
|
2174 |
+
"eval_runtime": 4.8374,
|
2175 |
+
"eval_samples_per_second": 59.122,
|
2176 |
+
"eval_steps_per_second": 0.62,
|
2177 |
+
"step": 747
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 230.77,
|
2181 |
+
"grad_norm": 27062.134765625,
|
2182 |
+
"learning_rate": 9.523809523809523e-06,
|
2183 |
+
"loss": 0.57,
|
2184 |
+
"step": 750
|
2185 |
+
},
|
2186 |
+
{
|
2187 |
+
"epoch": 230.77,
|
2188 |
+
"eval_accuracy": 0.6958041958041958,
|
2189 |
+
"eval_loss": 0.8095433115959167,
|
2190 |
+
"eval_runtime": 3.9409,
|
2191 |
+
"eval_samples_per_second": 72.572,
|
2192 |
+
"eval_steps_per_second": 0.761,
|
2193 |
+
"step": 750
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 232.0,
|
2197 |
+
"eval_accuracy": 0.6958041958041958,
|
2198 |
+
"eval_loss": 0.8082302212715149,
|
2199 |
+
"eval_runtime": 4.0933,
|
2200 |
+
"eval_samples_per_second": 69.87,
|
2201 |
+
"eval_steps_per_second": 0.733,
|
2202 |
+
"step": 754
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 232.92,
|
2206 |
+
"eval_accuracy": 0.6958041958041958,
|
2207 |
+
"eval_loss": 0.8084114193916321,
|
2208 |
+
"eval_runtime": 4.4952,
|
2209 |
+
"eval_samples_per_second": 63.624,
|
2210 |
+
"eval_steps_per_second": 0.667,
|
2211 |
+
"step": 757
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 233.85,
|
2215 |
+
"eval_accuracy": 0.6923076923076923,
|
2216 |
+
"eval_loss": 0.8113557696342468,
|
2217 |
+
"eval_runtime": 4.6955,
|
2218 |
+
"eval_samples_per_second": 60.909,
|
2219 |
+
"eval_steps_per_second": 0.639,
|
2220 |
+
"step": 760
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 234.77,
|
2224 |
+
"eval_accuracy": 0.6923076923076923,
|
2225 |
+
"eval_loss": 0.8130276799201965,
|
2226 |
+
"eval_runtime": 4.9303,
|
2227 |
+
"eval_samples_per_second": 58.009,
|
2228 |
+
"eval_steps_per_second": 0.608,
|
2229 |
+
"step": 763
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 236.0,
|
2233 |
+
"eval_accuracy": 0.6923076923076923,
|
2234 |
+
"eval_loss": 0.8153804540634155,
|
2235 |
+
"eval_runtime": 3.6663,
|
2236 |
+
"eval_samples_per_second": 78.007,
|
2237 |
+
"eval_steps_per_second": 0.818,
|
2238 |
+
"step": 767
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 236.92,
|
2242 |
+
"eval_accuracy": 0.6923076923076923,
|
2243 |
+
"eval_loss": 0.8160205483436584,
|
2244 |
+
"eval_runtime": 4.6226,
|
2245 |
+
"eval_samples_per_second": 61.87,
|
2246 |
+
"eval_steps_per_second": 0.649,
|
2247 |
+
"step": 770
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 237.85,
|
2251 |
+
"eval_accuracy": 0.6888111888111889,
|
2252 |
+
"eval_loss": 0.8126419186592102,
|
2253 |
+
"eval_runtime": 4.6278,
|
2254 |
+
"eval_samples_per_second": 61.801,
|
2255 |
+
"eval_steps_per_second": 0.648,
|
2256 |
+
"step": 773
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 238.77,
|
2260 |
+
"eval_accuracy": 0.6888111888111889,
|
2261 |
+
"eval_loss": 0.8113960027694702,
|
2262 |
+
"eval_runtime": 3.8362,
|
2263 |
+
"eval_samples_per_second": 74.552,
|
2264 |
+
"eval_steps_per_second": 0.782,
|
2265 |
+
"step": 776
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 240.0,
|
2269 |
+
"eval_accuracy": 0.6923076923076923,
|
2270 |
+
"eval_loss": 0.8041169047355652,
|
2271 |
+
"eval_runtime": 5.2095,
|
2272 |
+
"eval_samples_per_second": 54.9,
|
2273 |
+
"eval_steps_per_second": 0.576,
|
2274 |
+
"step": 780
|
2275 |
+
},
|
2276 |
+
{
|
2277 |
+
"epoch": 240.92,
|
2278 |
+
"eval_accuracy": 0.6923076923076923,
|
2279 |
+
"eval_loss": 0.8005608916282654,
|
2280 |
+
"eval_runtime": 4.0128,
|
2281 |
+
"eval_samples_per_second": 71.273,
|
2282 |
+
"eval_steps_per_second": 0.748,
|
2283 |
+
"step": 783
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 241.85,
|
2287 |
+
"eval_accuracy": 0.6958041958041958,
|
2288 |
+
"eval_loss": 0.7987480163574219,
|
2289 |
+
"eval_runtime": 4.8789,
|
2290 |
+
"eval_samples_per_second": 58.619,
|
2291 |
+
"eval_steps_per_second": 0.615,
|
2292 |
+
"step": 786
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 242.77,
|
2296 |
+
"eval_accuracy": 0.6993006993006993,
|
2297 |
+
"eval_loss": 0.7977189421653748,
|
2298 |
+
"eval_runtime": 4.5854,
|
2299 |
+
"eval_samples_per_second": 62.372,
|
2300 |
+
"eval_steps_per_second": 0.654,
|
2301 |
+
"step": 789
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 244.0,
|
2305 |
+
"eval_accuracy": 0.6993006993006993,
|
2306 |
+
"eval_loss": 0.8001275658607483,
|
2307 |
+
"eval_runtime": 4.7528,
|
2308 |
+
"eval_samples_per_second": 60.175,
|
2309 |
+
"eval_steps_per_second": 0.631,
|
2310 |
+
"step": 793
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"epoch": 244.92,
|
2314 |
+
"eval_accuracy": 0.6958041958041958,
|
2315 |
+
"eval_loss": 0.8043994903564453,
|
2316 |
+
"eval_runtime": 4.2699,
|
2317 |
+
"eval_samples_per_second": 66.98,
|
2318 |
+
"eval_steps_per_second": 0.703,
|
2319 |
+
"step": 796
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 245.85,
|
2323 |
+
"eval_accuracy": 0.6958041958041958,
|
2324 |
+
"eval_loss": 0.8082275390625,
|
2325 |
+
"eval_runtime": 4.2996,
|
2326 |
+
"eval_samples_per_second": 66.518,
|
2327 |
+
"eval_steps_per_second": 0.698,
|
2328 |
+
"step": 799
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 246.15,
|
2332 |
+
"grad_norm": 99001.8359375,
|
2333 |
+
"learning_rate": 7.936507936507936e-06,
|
2334 |
+
"loss": 0.5456,
|
2335 |
+
"step": 800
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 246.77,
|
2339 |
+
"eval_accuracy": 0.6888111888111889,
|
2340 |
+
"eval_loss": 0.8120755553245544,
|
2341 |
+
"eval_runtime": 4.5242,
|
2342 |
+
"eval_samples_per_second": 63.216,
|
2343 |
+
"eval_steps_per_second": 0.663,
|
2344 |
+
"step": 802
|
2345 |
+
},
|
2346 |
+
{
|
2347 |
+
"epoch": 248.0,
|
2348 |
+
"eval_accuracy": 0.6888111888111889,
|
2349 |
+
"eval_loss": 0.8106970191001892,
|
2350 |
+
"eval_runtime": 4.4479,
|
2351 |
+
"eval_samples_per_second": 64.3,
|
2352 |
+
"eval_steps_per_second": 0.674,
|
2353 |
+
"step": 806
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 248.92,
|
2357 |
+
"eval_accuracy": 0.6958041958041958,
|
2358 |
+
"eval_loss": 0.806368887424469,
|
2359 |
+
"eval_runtime": 4.1522,
|
2360 |
+
"eval_samples_per_second": 68.88,
|
2361 |
+
"eval_steps_per_second": 0.723,
|
2362 |
+
"step": 809
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 249.85,
|
2366 |
+
"eval_accuracy": 0.6958041958041958,
|
2367 |
+
"eval_loss": 0.8042352199554443,
|
2368 |
+
"eval_runtime": 4.4213,
|
2369 |
+
"eval_samples_per_second": 64.687,
|
2370 |
+
"eval_steps_per_second": 0.679,
|
2371 |
+
"step": 812
|
2372 |
+
},
|
2373 |
+
{
|
2374 |
+
"epoch": 250.77,
|
2375 |
+
"eval_accuracy": 0.6958041958041958,
|
2376 |
+
"eval_loss": 0.8005724549293518,
|
2377 |
+
"eval_runtime": 4.4134,
|
2378 |
+
"eval_samples_per_second": 64.802,
|
2379 |
+
"eval_steps_per_second": 0.68,
|
2380 |
+
"step": 815
|
2381 |
+
},
|
2382 |
+
{
|
2383 |
+
"epoch": 252.0,
|
2384 |
+
"eval_accuracy": 0.6958041958041958,
|
2385 |
+
"eval_loss": 0.7968676090240479,
|
2386 |
+
"eval_runtime": 3.8229,
|
2387 |
+
"eval_samples_per_second": 74.812,
|
2388 |
+
"eval_steps_per_second": 0.785,
|
2389 |
+
"step": 819
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 252.92,
|
2393 |
+
"eval_accuracy": 0.6993006993006993,
|
2394 |
+
"eval_loss": 0.7954707741737366,
|
2395 |
+
"eval_runtime": 4.2693,
|
2396 |
+
"eval_samples_per_second": 66.99,
|
2397 |
+
"eval_steps_per_second": 0.703,
|
2398 |
+
"step": 822
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 253.85,
|
2402 |
+
"eval_accuracy": 0.6958041958041958,
|
2403 |
+
"eval_loss": 0.7973347902297974,
|
2404 |
+
"eval_runtime": 4.1401,
|
2405 |
+
"eval_samples_per_second": 69.081,
|
2406 |
+
"eval_steps_per_second": 0.725,
|
2407 |
+
"step": 825
|
2408 |
+
},
|
2409 |
+
{
|
2410 |
+
"epoch": 254.77,
|
2411 |
+
"eval_accuracy": 0.6958041958041958,
|
2412 |
+
"eval_loss": 0.8001494407653809,
|
2413 |
+
"eval_runtime": 4.4851,
|
2414 |
+
"eval_samples_per_second": 63.767,
|
2415 |
+
"eval_steps_per_second": 0.669,
|
2416 |
+
"step": 828
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 256.0,
|
2420 |
+
"eval_accuracy": 0.6888111888111889,
|
2421 |
+
"eval_loss": 0.80350661277771,
|
2422 |
+
"eval_runtime": 4.4996,
|
2423 |
+
"eval_samples_per_second": 63.562,
|
2424 |
+
"eval_steps_per_second": 0.667,
|
2425 |
+
"step": 832
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 256.92,
|
2429 |
+
"eval_accuracy": 0.6853146853146853,
|
2430 |
+
"eval_loss": 0.8035485148429871,
|
2431 |
+
"eval_runtime": 4.5713,
|
2432 |
+
"eval_samples_per_second": 62.564,
|
2433 |
+
"eval_steps_per_second": 0.656,
|
2434 |
+
"step": 835
|
2435 |
+
},
|
2436 |
+
{
|
2437 |
+
"epoch": 257.85,
|
2438 |
+
"eval_accuracy": 0.6923076923076923,
|
2439 |
+
"eval_loss": 0.8012282252311707,
|
2440 |
+
"eval_runtime": 4.0638,
|
2441 |
+
"eval_samples_per_second": 70.377,
|
2442 |
+
"eval_steps_per_second": 0.738,
|
2443 |
+
"step": 838
|
2444 |
+
},
|
2445 |
+
{
|
2446 |
+
"epoch": 258.77,
|
2447 |
+
"eval_accuracy": 0.6923076923076923,
|
2448 |
+
"eval_loss": 0.8000492453575134,
|
2449 |
+
"eval_runtime": 4.443,
|
2450 |
+
"eval_samples_per_second": 64.372,
|
2451 |
+
"eval_steps_per_second": 0.675,
|
2452 |
+
"step": 841
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 260.0,
|
2456 |
+
"eval_accuracy": 0.6888111888111889,
|
2457 |
+
"eval_loss": 0.7963055968284607,
|
2458 |
+
"eval_runtime": 5.2655,
|
2459 |
+
"eval_samples_per_second": 54.316,
|
2460 |
+
"eval_steps_per_second": 0.57,
|
2461 |
+
"step": 845
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 260.92,
|
2465 |
+
"eval_accuracy": 0.6958041958041958,
|
2466 |
+
"eval_loss": 0.7927840352058411,
|
2467 |
+
"eval_runtime": 5.1407,
|
2468 |
+
"eval_samples_per_second": 55.634,
|
2469 |
+
"eval_steps_per_second": 0.584,
|
2470 |
+
"step": 848
|
2471 |
+
},
|
2472 |
+
{
|
2473 |
+
"epoch": 261.54,
|
2474 |
+
"grad_norm": 24108.591796875,
|
2475 |
+
"learning_rate": 6.349206349206349e-06,
|
2476 |
+
"loss": 0.5369,
|
2477 |
+
"step": 850
|
2478 |
+
},
|
2479 |
+
{
|
2480 |
+
"epoch": 261.85,
|
2481 |
+
"eval_accuracy": 0.6923076923076923,
|
2482 |
+
"eval_loss": 0.7919009327888489,
|
2483 |
+
"eval_runtime": 3.8577,
|
2484 |
+
"eval_samples_per_second": 74.138,
|
2485 |
+
"eval_steps_per_second": 0.778,
|
2486 |
+
"step": 851
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 262.77,
|
2490 |
+
"eval_accuracy": 0.6888111888111889,
|
2491 |
+
"eval_loss": 0.791265606880188,
|
2492 |
+
"eval_runtime": 4.1966,
|
2493 |
+
"eval_samples_per_second": 68.151,
|
2494 |
+
"eval_steps_per_second": 0.715,
|
2495 |
+
"step": 854
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 264.0,
|
2499 |
+
"eval_accuracy": 0.6888111888111889,
|
2500 |
+
"eval_loss": 0.7929325699806213,
|
2501 |
+
"eval_runtime": 4.063,
|
2502 |
+
"eval_samples_per_second": 70.391,
|
2503 |
+
"eval_steps_per_second": 0.738,
|
2504 |
+
"step": 858
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 264.92,
|
2508 |
+
"eval_accuracy": 0.6818181818181818,
|
2509 |
+
"eval_loss": 0.7954928278923035,
|
2510 |
+
"eval_runtime": 4.3933,
|
2511 |
+
"eval_samples_per_second": 65.099,
|
2512 |
+
"eval_steps_per_second": 0.683,
|
2513 |
+
"step": 861
|
2514 |
+
},
|
2515 |
+
{
|
2516 |
+
"epoch": 265.85,
|
2517 |
+
"eval_accuracy": 0.6853146853146853,
|
2518 |
+
"eval_loss": 0.7962778210639954,
|
2519 |
+
"eval_runtime": 4.4424,
|
2520 |
+
"eval_samples_per_second": 64.38,
|
2521 |
+
"eval_steps_per_second": 0.675,
|
2522 |
+
"step": 864
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 266.77,
|
2526 |
+
"eval_accuracy": 0.6888111888111889,
|
2527 |
+
"eval_loss": 0.7951834201812744,
|
2528 |
+
"eval_runtime": 4.2605,
|
2529 |
+
"eval_samples_per_second": 67.128,
|
2530 |
+
"eval_steps_per_second": 0.704,
|
2531 |
+
"step": 867
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 268.0,
|
2535 |
+
"eval_accuracy": 0.6888111888111889,
|
2536 |
+
"eval_loss": 0.7936495542526245,
|
2537 |
+
"eval_runtime": 4.9467,
|
2538 |
+
"eval_samples_per_second": 57.816,
|
2539 |
+
"eval_steps_per_second": 0.606,
|
2540 |
+
"step": 871
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 268.92,
|
2544 |
+
"eval_accuracy": 0.6853146853146853,
|
2545 |
+
"eval_loss": 0.7928897738456726,
|
2546 |
+
"eval_runtime": 4.9925,
|
2547 |
+
"eval_samples_per_second": 57.286,
|
2548 |
+
"eval_steps_per_second": 0.601,
|
2549 |
+
"step": 874
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 269.85,
|
2553 |
+
"eval_accuracy": 0.6853146853146853,
|
2554 |
+
"eval_loss": 0.7933365702629089,
|
2555 |
+
"eval_runtime": 4.4133,
|
2556 |
+
"eval_samples_per_second": 64.804,
|
2557 |
+
"eval_steps_per_second": 0.68,
|
2558 |
+
"step": 877
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 270.77,
|
2562 |
+
"eval_accuracy": 0.6853146853146853,
|
2563 |
+
"eval_loss": 0.7940818071365356,
|
2564 |
+
"eval_runtime": 4.0519,
|
2565 |
+
"eval_samples_per_second": 70.584,
|
2566 |
+
"eval_steps_per_second": 0.74,
|
2567 |
+
"step": 880
|
2568 |
+
},
|
2569 |
+
{
|
2570 |
+
"epoch": 272.0,
|
2571 |
+
"eval_accuracy": 0.6853146853146853,
|
2572 |
+
"eval_loss": 0.7939559817314148,
|
2573 |
+
"eval_runtime": 4.2845,
|
2574 |
+
"eval_samples_per_second": 66.753,
|
2575 |
+
"eval_steps_per_second": 0.7,
|
2576 |
+
"step": 884
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 272.92,
|
2580 |
+
"eval_accuracy": 0.6853146853146853,
|
2581 |
+
"eval_loss": 0.7929409742355347,
|
2582 |
+
"eval_runtime": 4.885,
|
2583 |
+
"eval_samples_per_second": 58.546,
|
2584 |
+
"eval_steps_per_second": 0.614,
|
2585 |
+
"step": 887
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 273.85,
|
2589 |
+
"eval_accuracy": 0.6853146853146853,
|
2590 |
+
"eval_loss": 0.7929646968841553,
|
2591 |
+
"eval_runtime": 3.7177,
|
2592 |
+
"eval_samples_per_second": 76.929,
|
2593 |
+
"eval_steps_per_second": 0.807,
|
2594 |
+
"step": 890
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 274.77,
|
2598 |
+
"eval_accuracy": 0.6853146853146853,
|
2599 |
+
"eval_loss": 0.7942932844161987,
|
2600 |
+
"eval_runtime": 4.7663,
|
2601 |
+
"eval_samples_per_second": 60.004,
|
2602 |
+
"eval_steps_per_second": 0.629,
|
2603 |
+
"step": 893
|
2604 |
+
},
|
2605 |
+
{
|
2606 |
+
"epoch": 276.0,
|
2607 |
+
"eval_accuracy": 0.6853146853146853,
|
2608 |
+
"eval_loss": 0.7943535447120667,
|
2609 |
+
"eval_runtime": 4.0017,
|
2610 |
+
"eval_samples_per_second": 71.47,
|
2611 |
+
"eval_steps_per_second": 0.75,
|
2612 |
+
"step": 897
|
2613 |
+
},
|
2614 |
+
{
|
2615 |
+
"epoch": 276.92,
|
2616 |
+
"grad_norm": 30744.533203125,
|
2617 |
+
"learning_rate": 4.7619047619047615e-06,
|
2618 |
+
"loss": 0.5388,
|
2619 |
+
"step": 900
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 276.92,
|
2623 |
+
"eval_accuracy": 0.6853146853146853,
|
2624 |
+
"eval_loss": 0.7933218479156494,
|
2625 |
+
"eval_runtime": 4.3013,
|
2626 |
+
"eval_samples_per_second": 66.492,
|
2627 |
+
"eval_steps_per_second": 0.697,
|
2628 |
+
"step": 900
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 277.85,
|
2632 |
+
"eval_accuracy": 0.6853146853146853,
|
2633 |
+
"eval_loss": 0.7914408445358276,
|
2634 |
+
"eval_runtime": 4.8732,
|
2635 |
+
"eval_samples_per_second": 58.689,
|
2636 |
+
"eval_steps_per_second": 0.616,
|
2637 |
+
"step": 903
|
2638 |
+
},
|
2639 |
+
{
|
2640 |
+
"epoch": 278.77,
|
2641 |
+
"eval_accuracy": 0.6853146853146853,
|
2642 |
+
"eval_loss": 0.7903594970703125,
|
2643 |
+
"eval_runtime": 4.6519,
|
2644 |
+
"eval_samples_per_second": 61.48,
|
2645 |
+
"eval_steps_per_second": 0.645,
|
2646 |
+
"step": 906
|
2647 |
+
},
|
2648 |
+
{
|
2649 |
+
"epoch": 280.0,
|
2650 |
+
"eval_accuracy": 0.6853146853146853,
|
2651 |
+
"eval_loss": 0.7888299822807312,
|
2652 |
+
"eval_runtime": 4.5788,
|
2653 |
+
"eval_samples_per_second": 62.462,
|
2654 |
+
"eval_steps_per_second": 0.655,
|
2655 |
+
"step": 910
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 280.92,
|
2659 |
+
"eval_accuracy": 0.6853146853146853,
|
2660 |
+
"eval_loss": 0.7900360822677612,
|
2661 |
+
"eval_runtime": 4.5971,
|
2662 |
+
"eval_samples_per_second": 62.213,
|
2663 |
+
"eval_steps_per_second": 0.653,
|
2664 |
+
"step": 913
|
2665 |
+
},
|
2666 |
+
{
|
2667 |
+
"epoch": 281.85,
|
2668 |
+
"eval_accuracy": 0.6853146853146853,
|
2669 |
+
"eval_loss": 0.7905992865562439,
|
2670 |
+
"eval_runtime": 4.4545,
|
2671 |
+
"eval_samples_per_second": 64.205,
|
2672 |
+
"eval_steps_per_second": 0.673,
|
2673 |
+
"step": 916
|
2674 |
+
},
|
2675 |
+
{
|
2676 |
+
"epoch": 282.77,
|
2677 |
+
"eval_accuracy": 0.6853146853146853,
|
2678 |
+
"eval_loss": 0.7911333441734314,
|
2679 |
+
"eval_runtime": 4.4274,
|
2680 |
+
"eval_samples_per_second": 64.598,
|
2681 |
+
"eval_steps_per_second": 0.678,
|
2682 |
+
"step": 919
|
2683 |
+
},
|
2684 |
+
{
|
2685 |
+
"epoch": 284.0,
|
2686 |
+
"eval_accuracy": 0.6853146853146853,
|
2687 |
+
"eval_loss": 0.7906560897827148,
|
2688 |
+
"eval_runtime": 3.9207,
|
2689 |
+
"eval_samples_per_second": 72.947,
|
2690 |
+
"eval_steps_per_second": 0.765,
|
2691 |
+
"step": 923
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 284.92,
|
2695 |
+
"eval_accuracy": 0.6853146853146853,
|
2696 |
+
"eval_loss": 0.7906984686851501,
|
2697 |
+
"eval_runtime": 4.5603,
|
2698 |
+
"eval_samples_per_second": 62.715,
|
2699 |
+
"eval_steps_per_second": 0.658,
|
2700 |
+
"step": 926
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 285.85,
|
2704 |
+
"eval_accuracy": 0.6818181818181818,
|
2705 |
+
"eval_loss": 0.7905350923538208,
|
2706 |
+
"eval_runtime": 4.8134,
|
2707 |
+
"eval_samples_per_second": 59.418,
|
2708 |
+
"eval_steps_per_second": 0.623,
|
2709 |
+
"step": 929
|
2710 |
+
},
|
2711 |
+
{
|
2712 |
+
"epoch": 286.77,
|
2713 |
+
"eval_accuracy": 0.6818181818181818,
|
2714 |
+
"eval_loss": 0.7899833917617798,
|
2715 |
+
"eval_runtime": 4.0697,
|
2716 |
+
"eval_samples_per_second": 70.275,
|
2717 |
+
"eval_steps_per_second": 0.737,
|
2718 |
+
"step": 932
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 288.0,
|
2722 |
+
"eval_accuracy": 0.6853146853146853,
|
2723 |
+
"eval_loss": 0.7901102304458618,
|
2724 |
+
"eval_runtime": 4.0126,
|
2725 |
+
"eval_samples_per_second": 71.276,
|
2726 |
+
"eval_steps_per_second": 0.748,
|
2727 |
+
"step": 936
|
2728 |
+
},
|
2729 |
+
{
|
2730 |
+
"epoch": 288.92,
|
2731 |
+
"eval_accuracy": 0.6853146853146853,
|
2732 |
+
"eval_loss": 0.7902336120605469,
|
2733 |
+
"eval_runtime": 3.8328,
|
2734 |
+
"eval_samples_per_second": 74.619,
|
2735 |
+
"eval_steps_per_second": 0.783,
|
2736 |
+
"step": 939
|
2737 |
+
},
|
2738 |
+
{
|
2739 |
+
"epoch": 289.85,
|
2740 |
+
"eval_accuracy": 0.6853146853146853,
|
2741 |
+
"eval_loss": 0.7909765839576721,
|
2742 |
+
"eval_runtime": 3.9497,
|
2743 |
+
"eval_samples_per_second": 72.411,
|
2744 |
+
"eval_steps_per_second": 0.76,
|
2745 |
+
"step": 942
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 290.77,
|
2749 |
+
"eval_accuracy": 0.6888111888111889,
|
2750 |
+
"eval_loss": 0.7913976907730103,
|
2751 |
+
"eval_runtime": 4.7881,
|
2752 |
+
"eval_samples_per_second": 59.731,
|
2753 |
+
"eval_steps_per_second": 0.627,
|
2754 |
+
"step": 945
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 292.0,
|
2758 |
+
"eval_accuracy": 0.6888111888111889,
|
2759 |
+
"eval_loss": 0.7919970750808716,
|
2760 |
+
"eval_runtime": 4.0436,
|
2761 |
+
"eval_samples_per_second": 70.729,
|
2762 |
+
"eval_steps_per_second": 0.742,
|
2763 |
+
"step": 949
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 292.31,
|
2767 |
+
"grad_norm": 41198.3515625,
|
2768 |
+
"learning_rate": 3.1746031746031746e-06,
|
2769 |
+
"loss": 0.5261,
|
2770 |
+
"step": 950
|
2771 |
+
},
|
2772 |
+
{
|
2773 |
+
"epoch": 292.92,
|
2774 |
+
"eval_accuracy": 0.6853146853146853,
|
2775 |
+
"eval_loss": 0.7927921414375305,
|
2776 |
+
"eval_runtime": 3.9219,
|
2777 |
+
"eval_samples_per_second": 72.923,
|
2778 |
+
"eval_steps_per_second": 0.765,
|
2779 |
+
"step": 952
|
2780 |
+
},
|
2781 |
+
{
|
2782 |
+
"epoch": 293.85,
|
2783 |
+
"eval_accuracy": 0.6888111888111889,
|
2784 |
+
"eval_loss": 0.793153703212738,
|
2785 |
+
"eval_runtime": 4.3649,
|
2786 |
+
"eval_samples_per_second": 65.522,
|
2787 |
+
"eval_steps_per_second": 0.687,
|
2788 |
+
"step": 955
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 294.77,
|
2792 |
+
"eval_accuracy": 0.6888111888111889,
|
2793 |
+
"eval_loss": 0.7925400733947754,
|
2794 |
+
"eval_runtime": 4.2064,
|
2795 |
+
"eval_samples_per_second": 67.992,
|
2796 |
+
"eval_steps_per_second": 0.713,
|
2797 |
+
"step": 958
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"epoch": 296.0,
|
2801 |
+
"eval_accuracy": 0.6888111888111889,
|
2802 |
+
"eval_loss": 0.7922278046607971,
|
2803 |
+
"eval_runtime": 4.03,
|
2804 |
+
"eval_samples_per_second": 70.968,
|
2805 |
+
"eval_steps_per_second": 0.744,
|
2806 |
+
"step": 962
|
2807 |
+
},
|
2808 |
+
{
|
2809 |
+
"epoch": 296.92,
|
2810 |
+
"eval_accuracy": 0.6888111888111889,
|
2811 |
+
"eval_loss": 0.7919090986251831,
|
2812 |
+
"eval_runtime": 4.4889,
|
2813 |
+
"eval_samples_per_second": 63.713,
|
2814 |
+
"eval_steps_per_second": 0.668,
|
2815 |
+
"step": 965
|
2816 |
+
},
|
2817 |
+
{
|
2818 |
+
"epoch": 297.85,
|
2819 |
+
"eval_accuracy": 0.6888111888111889,
|
2820 |
+
"eval_loss": 0.7922202348709106,
|
2821 |
+
"eval_runtime": 4.3742,
|
2822 |
+
"eval_samples_per_second": 65.383,
|
2823 |
+
"eval_steps_per_second": 0.686,
|
2824 |
+
"step": 968
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 298.77,
|
2828 |
+
"eval_accuracy": 0.6888111888111889,
|
2829 |
+
"eval_loss": 0.7921380400657654,
|
2830 |
+
"eval_runtime": 4.27,
|
2831 |
+
"eval_samples_per_second": 66.979,
|
2832 |
+
"eval_steps_per_second": 0.703,
|
2833 |
+
"step": 971
|
2834 |
+
},
|
2835 |
+
{
|
2836 |
+
"epoch": 300.0,
|
2837 |
+
"eval_accuracy": 0.6853146853146853,
|
2838 |
+
"eval_loss": 0.7912278175354004,
|
2839 |
+
"eval_runtime": 4.209,
|
2840 |
+
"eval_samples_per_second": 67.95,
|
2841 |
+
"eval_steps_per_second": 0.713,
|
2842 |
+
"step": 975
|
2843 |
+
},
|
2844 |
+
{
|
2845 |
+
"epoch": 300.92,
|
2846 |
+
"eval_accuracy": 0.6853146853146853,
|
2847 |
+
"eval_loss": 0.7907286882400513,
|
2848 |
+
"eval_runtime": 4.5975,
|
2849 |
+
"eval_samples_per_second": 62.208,
|
2850 |
+
"eval_steps_per_second": 0.653,
|
2851 |
+
"step": 978
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 301.85,
|
2855 |
+
"eval_accuracy": 0.6853146853146853,
|
2856 |
+
"eval_loss": 0.7895866632461548,
|
2857 |
+
"eval_runtime": 4.0629,
|
2858 |
+
"eval_samples_per_second": 70.394,
|
2859 |
+
"eval_steps_per_second": 0.738,
|
2860 |
+
"step": 981
|
2861 |
+
},
|
2862 |
+
{
|
2863 |
+
"epoch": 302.77,
|
2864 |
+
"eval_accuracy": 0.6888111888111889,
|
2865 |
+
"eval_loss": 0.7885376811027527,
|
2866 |
+
"eval_runtime": 4.0112,
|
2867 |
+
"eval_samples_per_second": 71.301,
|
2868 |
+
"eval_steps_per_second": 0.748,
|
2869 |
+
"step": 984
|
2870 |
+
},
|
2871 |
+
{
|
2872 |
+
"epoch": 304.0,
|
2873 |
+
"eval_accuracy": 0.6888111888111889,
|
2874 |
+
"eval_loss": 0.7877256870269775,
|
2875 |
+
"eval_runtime": 4.4199,
|
2876 |
+
"eval_samples_per_second": 64.708,
|
2877 |
+
"eval_steps_per_second": 0.679,
|
2878 |
+
"step": 988
|
2879 |
+
},
|
2880 |
+
{
|
2881 |
+
"epoch": 304.92,
|
2882 |
+
"eval_accuracy": 0.6888111888111889,
|
2883 |
+
"eval_loss": 0.7874112725257874,
|
2884 |
+
"eval_runtime": 4.0366,
|
2885 |
+
"eval_samples_per_second": 70.852,
|
2886 |
+
"eval_steps_per_second": 0.743,
|
2887 |
+
"step": 991
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 305.85,
|
2891 |
+
"eval_accuracy": 0.6888111888111889,
|
2892 |
+
"eval_loss": 0.7876228094100952,
|
2893 |
+
"eval_runtime": 4.3519,
|
2894 |
+
"eval_samples_per_second": 65.718,
|
2895 |
+
"eval_steps_per_second": 0.689,
|
2896 |
+
"step": 994
|
2897 |
+
},
|
2898 |
+
{
|
2899 |
+
"epoch": 306.77,
|
2900 |
+
"eval_accuracy": 0.6888111888111889,
|
2901 |
+
"eval_loss": 0.7879106402397156,
|
2902 |
+
"eval_runtime": 5.3443,
|
2903 |
+
"eval_samples_per_second": 53.515,
|
2904 |
+
"eval_steps_per_second": 0.561,
|
2905 |
+
"step": 997
|
2906 |
+
},
|
2907 |
+
{
|
2908 |
+
"epoch": 307.69,
|
2909 |
+
"grad_norm": 31167.6875,
|
2910 |
+
"learning_rate": 1.5873015873015873e-06,
|
2911 |
+
"loss": 0.5188,
|
2912 |
+
"step": 1000
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 308.0,
|
2916 |
+
"eval_accuracy": 0.6888111888111889,
|
2917 |
+
"eval_loss": 0.7883804440498352,
|
2918 |
+
"eval_runtime": 4.1413,
|
2919 |
+
"eval_samples_per_second": 69.06,
|
2920 |
+
"eval_steps_per_second": 0.724,
|
2921 |
+
"step": 1001
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 308.92,
|
2925 |
+
"eval_accuracy": 0.6888111888111889,
|
2926 |
+
"eval_loss": 0.7886692881584167,
|
2927 |
+
"eval_runtime": 4.049,
|
2928 |
+
"eval_samples_per_second": 70.634,
|
2929 |
+
"eval_steps_per_second": 0.741,
|
2930 |
+
"step": 1004
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 309.85,
|
2934 |
+
"eval_accuracy": 0.6888111888111889,
|
2935 |
+
"eval_loss": 0.7890444397926331,
|
2936 |
+
"eval_runtime": 4.612,
|
2937 |
+
"eval_samples_per_second": 62.012,
|
2938 |
+
"eval_steps_per_second": 0.65,
|
2939 |
+
"step": 1007
|
2940 |
+
},
|
2941 |
+
{
|
2942 |
+
"epoch": 310.77,
|
2943 |
+
"eval_accuracy": 0.6888111888111889,
|
2944 |
+
"eval_loss": 0.7894096970558167,
|
2945 |
+
"eval_runtime": 3.8027,
|
2946 |
+
"eval_samples_per_second": 75.209,
|
2947 |
+
"eval_steps_per_second": 0.789,
|
2948 |
+
"step": 1010
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 312.0,
|
2952 |
+
"eval_accuracy": 0.6888111888111889,
|
2953 |
+
"eval_loss": 0.7899323105812073,
|
2954 |
+
"eval_runtime": 4.3345,
|
2955 |
+
"eval_samples_per_second": 65.983,
|
2956 |
+
"eval_steps_per_second": 0.692,
|
2957 |
+
"step": 1014
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 312.92,
|
2961 |
+
"eval_accuracy": 0.6888111888111889,
|
2962 |
+
"eval_loss": 0.7903538346290588,
|
2963 |
+
"eval_runtime": 4.5846,
|
2964 |
+
"eval_samples_per_second": 62.383,
|
2965 |
+
"eval_steps_per_second": 0.654,
|
2966 |
+
"step": 1017
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 313.85,
|
2970 |
+
"eval_accuracy": 0.6923076923076923,
|
2971 |
+
"eval_loss": 0.7907257080078125,
|
2972 |
+
"eval_runtime": 4.136,
|
2973 |
+
"eval_samples_per_second": 69.148,
|
2974 |
+
"eval_steps_per_second": 0.725,
|
2975 |
+
"step": 1020
|
2976 |
+
},
|
2977 |
+
{
|
2978 |
+
"epoch": 314.77,
|
2979 |
+
"eval_accuracy": 0.6923076923076923,
|
2980 |
+
"eval_loss": 0.790963888168335,
|
2981 |
+
"eval_runtime": 4.2526,
|
2982 |
+
"eval_samples_per_second": 67.252,
|
2983 |
+
"eval_steps_per_second": 0.705,
|
2984 |
+
"step": 1023
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 316.0,
|
2988 |
+
"eval_accuracy": 0.6923076923076923,
|
2989 |
+
"eval_loss": 0.7912085056304932,
|
2990 |
+
"eval_runtime": 4.1188,
|
2991 |
+
"eval_samples_per_second": 69.437,
|
2992 |
+
"eval_steps_per_second": 0.728,
|
2993 |
+
"step": 1027
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 316.92,
|
2997 |
+
"eval_accuracy": 0.6923076923076923,
|
2998 |
+
"eval_loss": 0.7911705374717712,
|
2999 |
+
"eval_runtime": 4.1524,
|
3000 |
+
"eval_samples_per_second": 68.876,
|
3001 |
+
"eval_steps_per_second": 0.722,
|
3002 |
+
"step": 1030
|
3003 |
+
},
|
3004 |
+
{
|
3005 |
+
"epoch": 317.85,
|
3006 |
+
"eval_accuracy": 0.6923076923076923,
|
3007 |
+
"eval_loss": 0.7911967039108276,
|
3008 |
+
"eval_runtime": 3.9058,
|
3009 |
+
"eval_samples_per_second": 73.225,
|
3010 |
+
"eval_steps_per_second": 0.768,
|
3011 |
+
"step": 1033
|
3012 |
+
},
|
3013 |
+
{
|
3014 |
+
"epoch": 318.77,
|
3015 |
+
"eval_accuracy": 0.6923076923076923,
|
3016 |
+
"eval_loss": 0.7912610173225403,
|
3017 |
+
"eval_runtime": 4.6095,
|
3018 |
+
"eval_samples_per_second": 62.046,
|
3019 |
+
"eval_steps_per_second": 0.651,
|
3020 |
+
"step": 1036
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 320.0,
|
3024 |
+
"eval_accuracy": 0.6923076923076923,
|
3025 |
+
"eval_loss": 0.7912730574607849,
|
3026 |
+
"eval_runtime": 5.5705,
|
3027 |
+
"eval_samples_per_second": 51.342,
|
3028 |
+
"eval_steps_per_second": 0.539,
|
3029 |
+
"step": 1040
|
3030 |
+
},
|
3031 |
+
{
|
3032 |
+
"epoch": 320.92,
|
3033 |
+
"eval_accuracy": 0.6923076923076923,
|
3034 |
+
"eval_loss": 0.7911974787712097,
|
3035 |
+
"eval_runtime": 4.9154,
|
3036 |
+
"eval_samples_per_second": 58.185,
|
3037 |
+
"eval_steps_per_second": 0.61,
|
3038 |
+
"step": 1043
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"epoch": 321.85,
|
3042 |
+
"eval_accuracy": 0.6923076923076923,
|
3043 |
+
"eval_loss": 0.7911575436592102,
|
3044 |
+
"eval_runtime": 4.8387,
|
3045 |
+
"eval_samples_per_second": 59.107,
|
3046 |
+
"eval_steps_per_second": 0.62,
|
3047 |
+
"step": 1046
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 322.77,
|
3051 |
+
"eval_accuracy": 0.6923076923076923,
|
3052 |
+
"eval_loss": 0.7911355495452881,
|
3053 |
+
"eval_runtime": 4.1368,
|
3054 |
+
"eval_samples_per_second": 69.135,
|
3055 |
+
"eval_steps_per_second": 0.725,
|
3056 |
+
"step": 1049
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 323.08,
|
3060 |
+
"grad_norm": 53824.44140625,
|
3061 |
+
"learning_rate": 0.0,
|
3062 |
+
"loss": 0.5194,
|
3063 |
+
"step": 1050
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 323.08,
|
3067 |
+
"eval_accuracy": 0.6923076923076923,
|
3068 |
+
"eval_loss": 0.7911302447319031,
|
3069 |
+
"eval_runtime": 4.2304,
|
3070 |
+
"eval_samples_per_second": 67.606,
|
3071 |
+
"eval_steps_per_second": 0.709,
|
3072 |
+
"step": 1050
|
3073 |
+
},
|
3074 |
+
{
|
3075 |
+
"epoch": 323.08,
|
3076 |
+
"step": 1050,
|
3077 |
+
"total_flos": 4.380490432252032e+18,
|
3078 |
+
"train_loss": 0.8143934268043155,
|
3079 |
+
"train_runtime": 4784.9132,
|
3080 |
+
"train_samples_per_second": 113.231,
|
3081 |
+
"train_steps_per_second": 0.219
|
3082 |
+
}
|
3083 |
+
],
|
3084 |
+
"logging_steps": 50,
|
3085 |
+
"max_steps": 1050,
|
3086 |
+
"num_input_tokens_seen": 0,
|
3087 |
+
"num_train_epochs": 350,
|
3088 |
+
"save_steps": 500,
|
3089 |
+
"total_flos": 4.380490432252032e+18,
|
3090 |
+
"train_batch_size": 128,
|
3091 |
+
"trial_name": null,
|
3092 |
+
"trial_params": null
|
3093 |
+
}
|