DewiBrynJones
commited on
Commit
•
04988e0
1
Parent(s):
fa9ae38
End of training
Browse files- README.md +15 -2
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Aug23_07-57-49_c73520ec3129/events.out.tfevents.1724457272.c73520ec3129.33.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +1487 -0
README.md
CHANGED
@@ -3,11 +3,24 @@ license: apache-2.0
|
|
3 |
base_model: openai/whisper-large-v3
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
metrics:
|
7 |
- wer
|
8 |
model-index:
|
9 |
- name: whisper-large-v3-ft-cv-cy-train-all
|
10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -15,7 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# whisper-large-v3-ft-cv-cy-train-all
|
17 |
|
18 |
-
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.3638
|
21 |
- Wer: 0.1817
|
|
|
3 |
base_model: openai/whisper-large-v3
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- DewiBrynJones/commonvoice_18_0_cy
|
8 |
metrics:
|
9 |
- wer
|
10 |
model-index:
|
11 |
- name: whisper-large-v3-ft-cv-cy-train-all
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Automatic Speech Recognition
|
15 |
+
type: automatic-speech-recognition
|
16 |
+
dataset:
|
17 |
+
name: DewiBrynJones/commonvoice_18_0_cy default
|
18 |
+
type: DewiBrynJones/commonvoice_18_0_cy
|
19 |
+
args: default
|
20 |
+
metrics:
|
21 |
+
- name: Wer
|
22 |
+
type: wer
|
23 |
+
value: 0.18173684838363355
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
28 |
|
29 |
# whisper-large-v3-ft-cv-cy-train-all
|
30 |
|
31 |
+
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the DewiBrynJones/commonvoice_18_0_cy default dataset.
|
32 |
It achieves the following results on the evaluation set:
|
33 |
- Loss: 0.3638
|
34 |
- Wer: 0.1817
|
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.727626459143968,
|
3 |
+
"eval_loss": 0.36376532912254333,
|
4 |
+
"eval_runtime": 2112.3804,
|
5 |
+
"eval_samples": 5381,
|
6 |
+
"eval_samples_per_second": 2.547,
|
7 |
+
"eval_steps_per_second": 0.16,
|
8 |
+
"eval_wer": 0.18173684838363355,
|
9 |
+
"total_flos": 5.4332453168676864e+20,
|
10 |
+
"train_loss": 0.06844911024216563,
|
11 |
+
"train_runtime": 58020.7767,
|
12 |
+
"train_samples": 16439,
|
13 |
+
"train_samples_per_second": 2.758,
|
14 |
+
"train_steps_per_second": 0.086
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.727626459143968,
|
3 |
+
"eval_loss": 0.36376532912254333,
|
4 |
+
"eval_runtime": 2112.3804,
|
5 |
+
"eval_samples": 5381,
|
6 |
+
"eval_samples_per_second": 2.547,
|
7 |
+
"eval_steps_per_second": 0.16,
|
8 |
+
"eval_wer": 0.18173684838363355
|
9 |
+
}
|
runs/Aug23_07-57-49_c73520ec3129/events.out.tfevents.1724457272.c73520ec3129.33.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99b9f8eab00c0349bb0cfe1ce30796c68b125170991b8dc6785cc8855fb04ee1
|
3 |
+
size 406
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.727626459143968,
|
3 |
+
"total_flos": 5.4332453168676864e+20,
|
4 |
+
"train_loss": 0.06844911024216563,
|
5 |
+
"train_runtime": 58020.7767,
|
6 |
+
"train_samples": 16439,
|
7 |
+
"train_samples_per_second": 2.758,
|
8 |
+
"train_steps_per_second": 0.086
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1487 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.727626459143968,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 5000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.048638132295719845,
|
13 |
+
"grad_norm": 7.16464900970459,
|
14 |
+
"learning_rate": 5.000000000000001e-07,
|
15 |
+
"loss": 1.0297,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09727626459143969,
|
20 |
+
"grad_norm": 4.811949729919434,
|
21 |
+
"learning_rate": 1.0000000000000002e-06,
|
22 |
+
"loss": 0.786,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14591439688715954,
|
27 |
+
"grad_norm": 4.57177734375,
|
28 |
+
"learning_rate": 1.5e-06,
|
29 |
+
"loss": 0.5046,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.19455252918287938,
|
34 |
+
"grad_norm": 4.517965793609619,
|
35 |
+
"learning_rate": 2.0000000000000003e-06,
|
36 |
+
"loss": 0.4671,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.24319066147859922,
|
41 |
+
"grad_norm": 4.065127849578857,
|
42 |
+
"learning_rate": 2.5e-06,
|
43 |
+
"loss": 0.4381,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2918287937743191,
|
48 |
+
"grad_norm": 3.5869154930114746,
|
49 |
+
"learning_rate": 3e-06,
|
50 |
+
"loss": 0.4062,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.3404669260700389,
|
55 |
+
"grad_norm": 4.262431621551514,
|
56 |
+
"learning_rate": 3.5e-06,
|
57 |
+
"loss": 0.3951,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.38910505836575876,
|
62 |
+
"grad_norm": 4.2176713943481445,
|
63 |
+
"learning_rate": 4.000000000000001e-06,
|
64 |
+
"loss": 0.3862,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.4377431906614786,
|
69 |
+
"grad_norm": 3.8358681201934814,
|
70 |
+
"learning_rate": 4.5e-06,
|
71 |
+
"loss": 0.364,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.48638132295719844,
|
76 |
+
"grad_norm": 3.8311147689819336,
|
77 |
+
"learning_rate": 5e-06,
|
78 |
+
"loss": 0.3425,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5350194552529183,
|
83 |
+
"grad_norm": 3.7137532234191895,
|
84 |
+
"learning_rate": 5.500000000000001e-06,
|
85 |
+
"loss": 0.339,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5836575875486382,
|
90 |
+
"grad_norm": 4.2145280838012695,
|
91 |
+
"learning_rate": 6e-06,
|
92 |
+
"loss": 0.3393,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.632295719844358,
|
97 |
+
"grad_norm": 3.540754556655884,
|
98 |
+
"learning_rate": 6.5000000000000004e-06,
|
99 |
+
"loss": 0.3154,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6809338521400778,
|
104 |
+
"grad_norm": 3.7712759971618652,
|
105 |
+
"learning_rate": 7e-06,
|
106 |
+
"loss": 0.319,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7295719844357976,
|
111 |
+
"grad_norm": 3.6147518157958984,
|
112 |
+
"learning_rate": 7.500000000000001e-06,
|
113 |
+
"loss": 0.3127,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7782101167315175,
|
118 |
+
"grad_norm": 3.6948869228363037,
|
119 |
+
"learning_rate": 8.000000000000001e-06,
|
120 |
+
"loss": 0.2965,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.8268482490272373,
|
125 |
+
"grad_norm": 3.350135087966919,
|
126 |
+
"learning_rate": 8.5e-06,
|
127 |
+
"loss": 0.3001,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8754863813229572,
|
132 |
+
"grad_norm": 3.7692646980285645,
|
133 |
+
"learning_rate": 9e-06,
|
134 |
+
"loss": 0.281,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.9241245136186771,
|
139 |
+
"grad_norm": 3.2747561931610107,
|
140 |
+
"learning_rate": 9.5e-06,
|
141 |
+
"loss": 0.2707,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9727626459143969,
|
146 |
+
"grad_norm": 3.260094165802002,
|
147 |
+
"learning_rate": 1e-05,
|
148 |
+
"loss": 0.2708,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.0214007782101167,
|
153 |
+
"grad_norm": 2.917370080947876,
|
154 |
+
"learning_rate": 9.944444444444445e-06,
|
155 |
+
"loss": 0.2415,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.0700389105058365,
|
160 |
+
"grad_norm": 2.564760208129883,
|
161 |
+
"learning_rate": 9.88888888888889e-06,
|
162 |
+
"loss": 0.1714,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.1186770428015564,
|
167 |
+
"grad_norm": 2.844514846801758,
|
168 |
+
"learning_rate": 9.833333333333333e-06,
|
169 |
+
"loss": 0.1842,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.1673151750972763,
|
174 |
+
"grad_norm": 3.1123480796813965,
|
175 |
+
"learning_rate": 9.777777777777779e-06,
|
176 |
+
"loss": 0.171,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.2159533073929962,
|
181 |
+
"grad_norm": 3.253563642501831,
|
182 |
+
"learning_rate": 9.722222222222223e-06,
|
183 |
+
"loss": 0.1773,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.264591439688716,
|
188 |
+
"grad_norm": 2.3145253658294678,
|
189 |
+
"learning_rate": 9.666666666666667e-06,
|
190 |
+
"loss": 0.1779,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.3132295719844358,
|
195 |
+
"grad_norm": 2.493607521057129,
|
196 |
+
"learning_rate": 9.611111111111112e-06,
|
197 |
+
"loss": 0.1717,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.3618677042801557,
|
202 |
+
"grad_norm": 2.081571578979492,
|
203 |
+
"learning_rate": 9.555555555555556e-06,
|
204 |
+
"loss": 0.1747,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 1.4105058365758754,
|
209 |
+
"grad_norm": 2.9359965324401855,
|
210 |
+
"learning_rate": 9.5e-06,
|
211 |
+
"loss": 0.1591,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.4591439688715953,
|
216 |
+
"grad_norm": 2.9549202919006348,
|
217 |
+
"learning_rate": 9.444444444444445e-06,
|
218 |
+
"loss": 0.1556,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.5077821011673151,
|
223 |
+
"grad_norm": 3.0995261669158936,
|
224 |
+
"learning_rate": 9.38888888888889e-06,
|
225 |
+
"loss": 0.1553,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.556420233463035,
|
230 |
+
"grad_norm": 2.3519606590270996,
|
231 |
+
"learning_rate": 9.333333333333334e-06,
|
232 |
+
"loss": 0.1502,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.605058365758755,
|
237 |
+
"grad_norm": 2.3519246578216553,
|
238 |
+
"learning_rate": 9.277777777777778e-06,
|
239 |
+
"loss": 0.1398,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.6536964980544746,
|
244 |
+
"grad_norm": 2.292020797729492,
|
245 |
+
"learning_rate": 9.222222222222224e-06,
|
246 |
+
"loss": 0.1518,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.7023346303501945,
|
251 |
+
"grad_norm": 2.7264564037323,
|
252 |
+
"learning_rate": 9.166666666666666e-06,
|
253 |
+
"loss": 0.1393,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.7509727626459144,
|
258 |
+
"grad_norm": 2.202409267425537,
|
259 |
+
"learning_rate": 9.111111111111112e-06,
|
260 |
+
"loss": 0.1432,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.7996108949416343,
|
265 |
+
"grad_norm": 2.6967380046844482,
|
266 |
+
"learning_rate": 9.055555555555556e-06,
|
267 |
+
"loss": 0.1492,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.8482490272373542,
|
272 |
+
"grad_norm": 2.8609344959259033,
|
273 |
+
"learning_rate": 9e-06,
|
274 |
+
"loss": 0.1351,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.8968871595330739,
|
279 |
+
"grad_norm": 1.9660629034042358,
|
280 |
+
"learning_rate": 8.944444444444446e-06,
|
281 |
+
"loss": 0.1378,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.9455252918287937,
|
286 |
+
"grad_norm": 2.9408161640167236,
|
287 |
+
"learning_rate": 8.888888888888888e-06,
|
288 |
+
"loss": 0.1429,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.9455252918287937,
|
293 |
+
"eval_loss": 0.2754097580909729,
|
294 |
+
"eval_runtime": 2154.7003,
|
295 |
+
"eval_samples_per_second": 2.497,
|
296 |
+
"eval_steps_per_second": 0.156,
|
297 |
+
"eval_wer": 0.22082388961787744,
|
298 |
+
"step": 1000
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.9941634241245136,
|
302 |
+
"grad_norm": 2.337907075881958,
|
303 |
+
"learning_rate": 8.833333333333334e-06,
|
304 |
+
"loss": 0.137,
|
305 |
+
"step": 1025
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 2.0428015564202333,
|
309 |
+
"grad_norm": 1.9045900106430054,
|
310 |
+
"learning_rate": 8.777777777777778e-06,
|
311 |
+
"loss": 0.0728,
|
312 |
+
"step": 1050
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 2.0914396887159534,
|
316 |
+
"grad_norm": 2.0690503120422363,
|
317 |
+
"learning_rate": 8.722222222222224e-06,
|
318 |
+
"loss": 0.0615,
|
319 |
+
"step": 1075
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 2.140077821011673,
|
323 |
+
"grad_norm": 2.0722174644470215,
|
324 |
+
"learning_rate": 8.666666666666668e-06,
|
325 |
+
"loss": 0.0582,
|
326 |
+
"step": 1100
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.188715953307393,
|
330 |
+
"grad_norm": 1.7977361679077148,
|
331 |
+
"learning_rate": 8.611111111111112e-06,
|
332 |
+
"loss": 0.0589,
|
333 |
+
"step": 1125
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 2.237354085603113,
|
337 |
+
"grad_norm": 1.5375025272369385,
|
338 |
+
"learning_rate": 8.555555555555556e-06,
|
339 |
+
"loss": 0.0657,
|
340 |
+
"step": 1150
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 2.2859922178988326,
|
344 |
+
"grad_norm": 1.9439505338668823,
|
345 |
+
"learning_rate": 8.5e-06,
|
346 |
+
"loss": 0.0648,
|
347 |
+
"step": 1175
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 2.3346303501945527,
|
351 |
+
"grad_norm": 1.7909560203552246,
|
352 |
+
"learning_rate": 8.444444444444446e-06,
|
353 |
+
"loss": 0.0594,
|
354 |
+
"step": 1200
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 2.3832684824902723,
|
358 |
+
"grad_norm": 1.7498406171798706,
|
359 |
+
"learning_rate": 8.38888888888889e-06,
|
360 |
+
"loss": 0.0627,
|
361 |
+
"step": 1225
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 2.4319066147859925,
|
365 |
+
"grad_norm": 1.557906985282898,
|
366 |
+
"learning_rate": 8.333333333333334e-06,
|
367 |
+
"loss": 0.0585,
|
368 |
+
"step": 1250
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.480544747081712,
|
372 |
+
"grad_norm": 1.3372323513031006,
|
373 |
+
"learning_rate": 8.277777777777778e-06,
|
374 |
+
"loss": 0.0614,
|
375 |
+
"step": 1275
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.529182879377432,
|
379 |
+
"grad_norm": 1.8402326107025146,
|
380 |
+
"learning_rate": 8.222222222222222e-06,
|
381 |
+
"loss": 0.0601,
|
382 |
+
"step": 1300
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 2.5778210116731515,
|
386 |
+
"grad_norm": 2.003889560699463,
|
387 |
+
"learning_rate": 8.166666666666668e-06,
|
388 |
+
"loss": 0.0575,
|
389 |
+
"step": 1325
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.6264591439688716,
|
393 |
+
"grad_norm": 1.5208065509796143,
|
394 |
+
"learning_rate": 8.111111111111112e-06,
|
395 |
+
"loss": 0.0563,
|
396 |
+
"step": 1350
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 2.6750972762645917,
|
400 |
+
"grad_norm": 2.1009633541107178,
|
401 |
+
"learning_rate": 8.055555555555557e-06,
|
402 |
+
"loss": 0.0633,
|
403 |
+
"step": 1375
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 2.7237354085603114,
|
407 |
+
"grad_norm": 1.367943286895752,
|
408 |
+
"learning_rate": 8.000000000000001e-06,
|
409 |
+
"loss": 0.0572,
|
410 |
+
"step": 1400
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.772373540856031,
|
414 |
+
"grad_norm": 1.914768934249878,
|
415 |
+
"learning_rate": 7.944444444444445e-06,
|
416 |
+
"loss": 0.0541,
|
417 |
+
"step": 1425
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.8210116731517507,
|
421 |
+
"grad_norm": 2.1714184284210205,
|
422 |
+
"learning_rate": 7.88888888888889e-06,
|
423 |
+
"loss": 0.059,
|
424 |
+
"step": 1450
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 2.869649805447471,
|
428 |
+
"grad_norm": 1.951029658317566,
|
429 |
+
"learning_rate": 7.833333333333333e-06,
|
430 |
+
"loss": 0.0571,
|
431 |
+
"step": 1475
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 2.9182879377431905,
|
435 |
+
"grad_norm": 1.6378835439682007,
|
436 |
+
"learning_rate": 7.77777777777778e-06,
|
437 |
+
"loss": 0.0563,
|
438 |
+
"step": 1500
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 2.9669260700389106,
|
442 |
+
"grad_norm": 1.8460659980773926,
|
443 |
+
"learning_rate": 7.722222222222223e-06,
|
444 |
+
"loss": 0.0556,
|
445 |
+
"step": 1525
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 3.0155642023346303,
|
449 |
+
"grad_norm": 1.0332473516464233,
|
450 |
+
"learning_rate": 7.666666666666667e-06,
|
451 |
+
"loss": 0.045,
|
452 |
+
"step": 1550
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 3.06420233463035,
|
456 |
+
"grad_norm": 1.5045939683914185,
|
457 |
+
"learning_rate": 7.611111111111111e-06,
|
458 |
+
"loss": 0.0227,
|
459 |
+
"step": 1575
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 3.11284046692607,
|
463 |
+
"grad_norm": 2.1660637855529785,
|
464 |
+
"learning_rate": 7.555555555555556e-06,
|
465 |
+
"loss": 0.0275,
|
466 |
+
"step": 1600
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 3.1614785992217898,
|
470 |
+
"grad_norm": 1.159175992012024,
|
471 |
+
"learning_rate": 7.500000000000001e-06,
|
472 |
+
"loss": 0.024,
|
473 |
+
"step": 1625
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 3.21011673151751,
|
477 |
+
"grad_norm": 0.9240212440490723,
|
478 |
+
"learning_rate": 7.444444444444445e-06,
|
479 |
+
"loss": 0.0271,
|
480 |
+
"step": 1650
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 3.2587548638132295,
|
484 |
+
"grad_norm": 0.9973633885383606,
|
485 |
+
"learning_rate": 7.38888888888889e-06,
|
486 |
+
"loss": 0.0266,
|
487 |
+
"step": 1675
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 3.307392996108949,
|
491 |
+
"grad_norm": 1.5561943054199219,
|
492 |
+
"learning_rate": 7.333333333333333e-06,
|
493 |
+
"loss": 0.0267,
|
494 |
+
"step": 1700
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 3.3560311284046693,
|
498 |
+
"grad_norm": 1.2981663942337036,
|
499 |
+
"learning_rate": 7.277777777777778e-06,
|
500 |
+
"loss": 0.0284,
|
501 |
+
"step": 1725
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 3.404669260700389,
|
505 |
+
"grad_norm": 1.1085954904556274,
|
506 |
+
"learning_rate": 7.222222222222223e-06,
|
507 |
+
"loss": 0.0239,
|
508 |
+
"step": 1750
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 3.453307392996109,
|
512 |
+
"grad_norm": 1.219834566116333,
|
513 |
+
"learning_rate": 7.166666666666667e-06,
|
514 |
+
"loss": 0.0244,
|
515 |
+
"step": 1775
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 3.501945525291829,
|
519 |
+
"grad_norm": 1.1478172540664673,
|
520 |
+
"learning_rate": 7.111111111111112e-06,
|
521 |
+
"loss": 0.0273,
|
522 |
+
"step": 1800
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 3.5505836575875485,
|
526 |
+
"grad_norm": 1.5546625852584839,
|
527 |
+
"learning_rate": 7.055555555555557e-06,
|
528 |
+
"loss": 0.0242,
|
529 |
+
"step": 1825
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 3.5992217898832686,
|
533 |
+
"grad_norm": 1.5303540229797363,
|
534 |
+
"learning_rate": 7e-06,
|
535 |
+
"loss": 0.0248,
|
536 |
+
"step": 1850
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 3.6478599221789882,
|
540 |
+
"grad_norm": 1.2220957279205322,
|
541 |
+
"learning_rate": 6.944444444444445e-06,
|
542 |
+
"loss": 0.0268,
|
543 |
+
"step": 1875
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 3.6964980544747084,
|
547 |
+
"grad_norm": 1.076720952987671,
|
548 |
+
"learning_rate": 6.88888888888889e-06,
|
549 |
+
"loss": 0.0246,
|
550 |
+
"step": 1900
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 3.745136186770428,
|
554 |
+
"grad_norm": 0.6398268342018127,
|
555 |
+
"learning_rate": 6.833333333333334e-06,
|
556 |
+
"loss": 0.0251,
|
557 |
+
"step": 1925
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 3.7937743190661477,
|
561 |
+
"grad_norm": 1.0957626104354858,
|
562 |
+
"learning_rate": 6.777777777777779e-06,
|
563 |
+
"loss": 0.024,
|
564 |
+
"step": 1950
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 3.842412451361868,
|
568 |
+
"grad_norm": 1.3786637783050537,
|
569 |
+
"learning_rate": 6.7222222222222235e-06,
|
570 |
+
"loss": 0.0221,
|
571 |
+
"step": 1975
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 3.8910505836575875,
|
575 |
+
"grad_norm": 1.0472965240478516,
|
576 |
+
"learning_rate": 6.666666666666667e-06,
|
577 |
+
"loss": 0.0232,
|
578 |
+
"step": 2000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 3.8910505836575875,
|
582 |
+
"eval_loss": 0.2916410565376282,
|
583 |
+
"eval_runtime": 2132.1371,
|
584 |
+
"eval_samples_per_second": 2.524,
|
585 |
+
"eval_steps_per_second": 0.158,
|
586 |
+
"eval_wer": 0.19905364030378941,
|
587 |
+
"step": 2000
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 3.9396887159533076,
|
591 |
+
"grad_norm": 1.0177409648895264,
|
592 |
+
"learning_rate": 6.6111111111111115e-06,
|
593 |
+
"loss": 0.0238,
|
594 |
+
"step": 2025
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 3.9883268482490273,
|
598 |
+
"grad_norm": 1.0486767292022705,
|
599 |
+
"learning_rate": 6.555555555555556e-06,
|
600 |
+
"loss": 0.0245,
|
601 |
+
"step": 2050
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 4.036964980544747,
|
605 |
+
"grad_norm": 0.7433611750602722,
|
606 |
+
"learning_rate": 6.5000000000000004e-06,
|
607 |
+
"loss": 0.0138,
|
608 |
+
"step": 2075
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 4.085603112840467,
|
612 |
+
"grad_norm": 0.4771675765514374,
|
613 |
+
"learning_rate": 6.444444444444445e-06,
|
614 |
+
"loss": 0.0109,
|
615 |
+
"step": 2100
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 4.134241245136187,
|
619 |
+
"grad_norm": 0.6232401132583618,
|
620 |
+
"learning_rate": 6.3888888888888885e-06,
|
621 |
+
"loss": 0.0109,
|
622 |
+
"step": 2125
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 4.182879377431907,
|
626 |
+
"grad_norm": 0.6728478670120239,
|
627 |
+
"learning_rate": 6.333333333333333e-06,
|
628 |
+
"loss": 0.0103,
|
629 |
+
"step": 2150
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 4.2315175097276265,
|
633 |
+
"grad_norm": 1.6818970441818237,
|
634 |
+
"learning_rate": 6.277777777777778e-06,
|
635 |
+
"loss": 0.0114,
|
636 |
+
"step": 2175
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 4.280155642023346,
|
640 |
+
"grad_norm": 0.36247119307518005,
|
641 |
+
"learning_rate": 6.222222222222223e-06,
|
642 |
+
"loss": 0.011,
|
643 |
+
"step": 2200
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 4.328793774319066,
|
647 |
+
"grad_norm": 1.3438676595687866,
|
648 |
+
"learning_rate": 6.166666666666667e-06,
|
649 |
+
"loss": 0.0126,
|
650 |
+
"step": 2225
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 4.377431906614786,
|
654 |
+
"grad_norm": 0.8739299774169922,
|
655 |
+
"learning_rate": 6.111111111111112e-06,
|
656 |
+
"loss": 0.0104,
|
657 |
+
"step": 2250
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 4.426070038910506,
|
661 |
+
"grad_norm": 0.6817359328269958,
|
662 |
+
"learning_rate": 6.055555555555555e-06,
|
663 |
+
"loss": 0.0118,
|
664 |
+
"step": 2275
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 4.474708171206226,
|
668 |
+
"grad_norm": 0.5845357775688171,
|
669 |
+
"learning_rate": 6e-06,
|
670 |
+
"loss": 0.0125,
|
671 |
+
"step": 2300
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 4.523346303501945,
|
675 |
+
"grad_norm": 1.067460298538208,
|
676 |
+
"learning_rate": 5.944444444444445e-06,
|
677 |
+
"loss": 0.0099,
|
678 |
+
"step": 2325
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 4.571984435797665,
|
682 |
+
"grad_norm": 0.7725332379341125,
|
683 |
+
"learning_rate": 5.88888888888889e-06,
|
684 |
+
"loss": 0.0123,
|
685 |
+
"step": 2350
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 4.620622568093385,
|
689 |
+
"grad_norm": 0.8168444633483887,
|
690 |
+
"learning_rate": 5.833333333333334e-06,
|
691 |
+
"loss": 0.01,
|
692 |
+
"step": 2375
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 4.669260700389105,
|
696 |
+
"grad_norm": 0.7538411617279053,
|
697 |
+
"learning_rate": 5.777777777777778e-06,
|
698 |
+
"loss": 0.0098,
|
699 |
+
"step": 2400
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 4.717898832684825,
|
703 |
+
"grad_norm": 0.3141120970249176,
|
704 |
+
"learning_rate": 5.722222222222222e-06,
|
705 |
+
"loss": 0.0107,
|
706 |
+
"step": 2425
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 4.766536964980545,
|
710 |
+
"grad_norm": 0.887184202671051,
|
711 |
+
"learning_rate": 5.666666666666667e-06,
|
712 |
+
"loss": 0.0095,
|
713 |
+
"step": 2450
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 4.815175097276264,
|
717 |
+
"grad_norm": 0.5846179127693176,
|
718 |
+
"learning_rate": 5.611111111111112e-06,
|
719 |
+
"loss": 0.0099,
|
720 |
+
"step": 2475
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 4.863813229571985,
|
724 |
+
"grad_norm": 0.3938518464565277,
|
725 |
+
"learning_rate": 5.555555555555557e-06,
|
726 |
+
"loss": 0.0091,
|
727 |
+
"step": 2500
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 4.912451361867705,
|
731 |
+
"grad_norm": 0.9777388572692871,
|
732 |
+
"learning_rate": 5.500000000000001e-06,
|
733 |
+
"loss": 0.0093,
|
734 |
+
"step": 2525
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 4.961089494163424,
|
738 |
+
"grad_norm": 0.7862864136695862,
|
739 |
+
"learning_rate": 5.444444444444445e-06,
|
740 |
+
"loss": 0.0111,
|
741 |
+
"step": 2550
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 5.009727626459144,
|
745 |
+
"grad_norm": 0.7504919171333313,
|
746 |
+
"learning_rate": 5.388888888888889e-06,
|
747 |
+
"loss": 0.0094,
|
748 |
+
"step": 2575
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 5.058365758754864,
|
752 |
+
"grad_norm": 0.2351156324148178,
|
753 |
+
"learning_rate": 5.333333333333334e-06,
|
754 |
+
"loss": 0.0049,
|
755 |
+
"step": 2600
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 5.107003891050583,
|
759 |
+
"grad_norm": 0.13562794029712677,
|
760 |
+
"learning_rate": 5.2777777777777785e-06,
|
761 |
+
"loss": 0.0043,
|
762 |
+
"step": 2625
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 5.155642023346304,
|
766 |
+
"grad_norm": 0.33899495005607605,
|
767 |
+
"learning_rate": 5.2222222222222226e-06,
|
768 |
+
"loss": 0.0048,
|
769 |
+
"step": 2650
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 5.2042801556420235,
|
773 |
+
"grad_norm": 0.9408302307128906,
|
774 |
+
"learning_rate": 5.1666666666666675e-06,
|
775 |
+
"loss": 0.0051,
|
776 |
+
"step": 2675
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 5.252918287937743,
|
780 |
+
"grad_norm": 0.35573306679725647,
|
781 |
+
"learning_rate": 5.1111111111111115e-06,
|
782 |
+
"loss": 0.0053,
|
783 |
+
"step": 2700
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 5.301556420233463,
|
787 |
+
"grad_norm": 0.7676318883895874,
|
788 |
+
"learning_rate": 5.0555555555555555e-06,
|
789 |
+
"loss": 0.0042,
|
790 |
+
"step": 2725
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 5.3501945525291825,
|
794 |
+
"grad_norm": 0.6776612401008606,
|
795 |
+
"learning_rate": 5e-06,
|
796 |
+
"loss": 0.004,
|
797 |
+
"step": 2750
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 5.398832684824903,
|
801 |
+
"grad_norm": 1.0338044166564941,
|
802 |
+
"learning_rate": 4.944444444444445e-06,
|
803 |
+
"loss": 0.0047,
|
804 |
+
"step": 2775
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 5.447470817120623,
|
808 |
+
"grad_norm": 0.2744717001914978,
|
809 |
+
"learning_rate": 4.888888888888889e-06,
|
810 |
+
"loss": 0.0068,
|
811 |
+
"step": 2800
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 5.496108949416342,
|
815 |
+
"grad_norm": 0.7075155973434448,
|
816 |
+
"learning_rate": 4.833333333333333e-06,
|
817 |
+
"loss": 0.0061,
|
818 |
+
"step": 2825
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 5.544747081712062,
|
822 |
+
"grad_norm": 0.1820390671491623,
|
823 |
+
"learning_rate": 4.777777777777778e-06,
|
824 |
+
"loss": 0.0052,
|
825 |
+
"step": 2850
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 5.593385214007782,
|
829 |
+
"grad_norm": 0.33624935150146484,
|
830 |
+
"learning_rate": 4.722222222222222e-06,
|
831 |
+
"loss": 0.0038,
|
832 |
+
"step": 2875
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 5.642023346303502,
|
836 |
+
"grad_norm": 0.1461501270532608,
|
837 |
+
"learning_rate": 4.666666666666667e-06,
|
838 |
+
"loss": 0.0046,
|
839 |
+
"step": 2900
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 5.690661478599222,
|
843 |
+
"grad_norm": 0.33367106318473816,
|
844 |
+
"learning_rate": 4.611111111111112e-06,
|
845 |
+
"loss": 0.0042,
|
846 |
+
"step": 2925
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 5.739299610894942,
|
850 |
+
"grad_norm": 0.32830071449279785,
|
851 |
+
"learning_rate": 4.555555555555556e-06,
|
852 |
+
"loss": 0.0043,
|
853 |
+
"step": 2950
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 5.787937743190661,
|
857 |
+
"grad_norm": 1.2332854270935059,
|
858 |
+
"learning_rate": 4.5e-06,
|
859 |
+
"loss": 0.0039,
|
860 |
+
"step": 2975
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 5.836575875486381,
|
864 |
+
"grad_norm": 0.6161640286445618,
|
865 |
+
"learning_rate": 4.444444444444444e-06,
|
866 |
+
"loss": 0.0046,
|
867 |
+
"step": 3000
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 5.836575875486381,
|
871 |
+
"eval_loss": 0.3218872845172882,
|
872 |
+
"eval_runtime": 2114.549,
|
873 |
+
"eval_samples_per_second": 2.545,
|
874 |
+
"eval_steps_per_second": 0.159,
|
875 |
+
"eval_wer": 0.18784047079406735,
|
876 |
+
"step": 3000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 5.885214007782102,
|
880 |
+
"grad_norm": 2.608947992324829,
|
881 |
+
"learning_rate": 4.388888888888889e-06,
|
882 |
+
"loss": 0.0061,
|
883 |
+
"step": 3025
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 5.933852140077821,
|
887 |
+
"grad_norm": 0.25549063086509705,
|
888 |
+
"learning_rate": 4.333333333333334e-06,
|
889 |
+
"loss": 0.0044,
|
890 |
+
"step": 3050
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 5.982490272373541,
|
894 |
+
"grad_norm": 1.4720717668533325,
|
895 |
+
"learning_rate": 4.277777777777778e-06,
|
896 |
+
"loss": 0.0051,
|
897 |
+
"step": 3075
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 6.031128404669261,
|
901 |
+
"grad_norm": 0.7722542881965637,
|
902 |
+
"learning_rate": 4.222222222222223e-06,
|
903 |
+
"loss": 0.0037,
|
904 |
+
"step": 3100
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 6.07976653696498,
|
908 |
+
"grad_norm": 0.35967299342155457,
|
909 |
+
"learning_rate": 4.166666666666667e-06,
|
910 |
+
"loss": 0.0029,
|
911 |
+
"step": 3125
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 6.1284046692607,
|
915 |
+
"grad_norm": 0.7472084164619446,
|
916 |
+
"learning_rate": 4.111111111111111e-06,
|
917 |
+
"loss": 0.0029,
|
918 |
+
"step": 3150
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 6.1770428015564205,
|
922 |
+
"grad_norm": 0.08338561654090881,
|
923 |
+
"learning_rate": 4.055555555555556e-06,
|
924 |
+
"loss": 0.0023,
|
925 |
+
"step": 3175
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 6.22568093385214,
|
929 |
+
"grad_norm": 0.49297797679901123,
|
930 |
+
"learning_rate": 4.000000000000001e-06,
|
931 |
+
"loss": 0.0022,
|
932 |
+
"step": 3200
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 6.27431906614786,
|
936 |
+
"grad_norm": 0.08119112253189087,
|
937 |
+
"learning_rate": 3.944444444444445e-06,
|
938 |
+
"loss": 0.0019,
|
939 |
+
"step": 3225
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 6.3229571984435795,
|
943 |
+
"grad_norm": 0.13106492161750793,
|
944 |
+
"learning_rate": 3.88888888888889e-06,
|
945 |
+
"loss": 0.0027,
|
946 |
+
"step": 3250
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 6.3715953307393,
|
950 |
+
"grad_norm": 0.18573686480522156,
|
951 |
+
"learning_rate": 3.833333333333334e-06,
|
952 |
+
"loss": 0.003,
|
953 |
+
"step": 3275
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 6.42023346303502,
|
957 |
+
"grad_norm": 0.09228133410215378,
|
958 |
+
"learning_rate": 3.777777777777778e-06,
|
959 |
+
"loss": 0.004,
|
960 |
+
"step": 3300
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 6.468871595330739,
|
964 |
+
"grad_norm": 0.8169698715209961,
|
965 |
+
"learning_rate": 3.7222222222222225e-06,
|
966 |
+
"loss": 0.0029,
|
967 |
+
"step": 3325
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 6.517509727626459,
|
971 |
+
"grad_norm": 0.23130229115486145,
|
972 |
+
"learning_rate": 3.6666666666666666e-06,
|
973 |
+
"loss": 0.0026,
|
974 |
+
"step": 3350
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 6.566147859922179,
|
978 |
+
"grad_norm": 0.10798731446266174,
|
979 |
+
"learning_rate": 3.6111111111111115e-06,
|
980 |
+
"loss": 0.0036,
|
981 |
+
"step": 3375
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 6.614785992217898,
|
985 |
+
"grad_norm": 0.09145894646644592,
|
986 |
+
"learning_rate": 3.555555555555556e-06,
|
987 |
+
"loss": 0.0024,
|
988 |
+
"step": 3400
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 6.663424124513619,
|
992 |
+
"grad_norm": 0.3099443018436432,
|
993 |
+
"learning_rate": 3.5e-06,
|
994 |
+
"loss": 0.0018,
|
995 |
+
"step": 3425
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 6.712062256809339,
|
999 |
+
"grad_norm": 0.13762035965919495,
|
1000 |
+
"learning_rate": 3.444444444444445e-06,
|
1001 |
+
"loss": 0.0021,
|
1002 |
+
"step": 3450
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 6.760700389105058,
|
1006 |
+
"grad_norm": 0.11253529787063599,
|
1007 |
+
"learning_rate": 3.3888888888888893e-06,
|
1008 |
+
"loss": 0.0012,
|
1009 |
+
"step": 3475
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 6.809338521400778,
|
1013 |
+
"grad_norm": 0.054800793528556824,
|
1014 |
+
"learning_rate": 3.3333333333333333e-06,
|
1015 |
+
"loss": 0.0019,
|
1016 |
+
"step": 3500
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 6.857976653696498,
|
1020 |
+
"grad_norm": 0.06803842633962631,
|
1021 |
+
"learning_rate": 3.277777777777778e-06,
|
1022 |
+
"loss": 0.0024,
|
1023 |
+
"step": 3525
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 6.906614785992218,
|
1027 |
+
"grad_norm": 0.08114957064390182,
|
1028 |
+
"learning_rate": 3.2222222222222227e-06,
|
1029 |
+
"loss": 0.0019,
|
1030 |
+
"step": 3550
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 6.955252918287938,
|
1034 |
+
"grad_norm": 0.06155654788017273,
|
1035 |
+
"learning_rate": 3.1666666666666667e-06,
|
1036 |
+
"loss": 0.0017,
|
1037 |
+
"step": 3575
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 7.003891050583658,
|
1041 |
+
"grad_norm": 0.09375619143247604,
|
1042 |
+
"learning_rate": 3.1111111111111116e-06,
|
1043 |
+
"loss": 0.0015,
|
1044 |
+
"step": 3600
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 7.052529182879377,
|
1048 |
+
"grad_norm": 0.04578198865056038,
|
1049 |
+
"learning_rate": 3.055555555555556e-06,
|
1050 |
+
"loss": 0.0011,
|
1051 |
+
"step": 3625
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 7.101167315175097,
|
1055 |
+
"grad_norm": 0.036920215934515,
|
1056 |
+
"learning_rate": 3e-06,
|
1057 |
+
"loss": 0.0012,
|
1058 |
+
"step": 3650
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 7.1498054474708175,
|
1062 |
+
"grad_norm": 0.07471055537462234,
|
1063 |
+
"learning_rate": 2.944444444444445e-06,
|
1064 |
+
"loss": 0.0009,
|
1065 |
+
"step": 3675
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 7.198443579766537,
|
1069 |
+
"grad_norm": 0.05370425805449486,
|
1070 |
+
"learning_rate": 2.888888888888889e-06,
|
1071 |
+
"loss": 0.0009,
|
1072 |
+
"step": 3700
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 7.247081712062257,
|
1076 |
+
"grad_norm": 0.04795600846409798,
|
1077 |
+
"learning_rate": 2.8333333333333335e-06,
|
1078 |
+
"loss": 0.001,
|
1079 |
+
"step": 3725
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 7.2957198443579765,
|
1083 |
+
"grad_norm": 0.030901705846190453,
|
1084 |
+
"learning_rate": 2.7777777777777783e-06,
|
1085 |
+
"loss": 0.0007,
|
1086 |
+
"step": 3750
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 7.344357976653696,
|
1090 |
+
"grad_norm": 0.05389130115509033,
|
1091 |
+
"learning_rate": 2.7222222222222224e-06,
|
1092 |
+
"loss": 0.0012,
|
1093 |
+
"step": 3775
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 7.392996108949417,
|
1097 |
+
"grad_norm": 0.05646834522485733,
|
1098 |
+
"learning_rate": 2.666666666666667e-06,
|
1099 |
+
"loss": 0.0009,
|
1100 |
+
"step": 3800
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 7.441634241245136,
|
1104 |
+
"grad_norm": 0.04085018113255501,
|
1105 |
+
"learning_rate": 2.6111111111111113e-06,
|
1106 |
+
"loss": 0.001,
|
1107 |
+
"step": 3825
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 7.490272373540856,
|
1111 |
+
"grad_norm": 0.024638062343001366,
|
1112 |
+
"learning_rate": 2.5555555555555557e-06,
|
1113 |
+
"loss": 0.0009,
|
1114 |
+
"step": 3850
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 7.538910505836576,
|
1118 |
+
"grad_norm": 0.03571788966655731,
|
1119 |
+
"learning_rate": 2.5e-06,
|
1120 |
+
"loss": 0.0011,
|
1121 |
+
"step": 3875
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 7.587548638132295,
|
1125 |
+
"grad_norm": 0.05909154936671257,
|
1126 |
+
"learning_rate": 2.4444444444444447e-06,
|
1127 |
+
"loss": 0.0007,
|
1128 |
+
"step": 3900
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 7.636186770428015,
|
1132 |
+
"grad_norm": 0.028353404253721237,
|
1133 |
+
"learning_rate": 2.388888888888889e-06,
|
1134 |
+
"loss": 0.001,
|
1135 |
+
"step": 3925
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 7.684824902723736,
|
1139 |
+
"grad_norm": 0.16029401123523712,
|
1140 |
+
"learning_rate": 2.3333333333333336e-06,
|
1141 |
+
"loss": 0.0009,
|
1142 |
+
"step": 3950
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 7.733463035019455,
|
1146 |
+
"grad_norm": 0.04438905417919159,
|
1147 |
+
"learning_rate": 2.277777777777778e-06,
|
1148 |
+
"loss": 0.0008,
|
1149 |
+
"step": 3975
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 7.782101167315175,
|
1153 |
+
"grad_norm": 0.035433579236269,
|
1154 |
+
"learning_rate": 2.222222222222222e-06,
|
1155 |
+
"loss": 0.0009,
|
1156 |
+
"step": 4000
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 7.782101167315175,
|
1160 |
+
"eval_loss": 0.3454054296016693,
|
1161 |
+
"eval_runtime": 2148.9325,
|
1162 |
+
"eval_samples_per_second": 2.504,
|
1163 |
+
"eval_steps_per_second": 0.157,
|
1164 |
+
"eval_wer": 0.1831881983379061,
|
1165 |
+
"step": 4000
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 7.830739299610895,
|
1169 |
+
"grad_norm": 0.028996312990784645,
|
1170 |
+
"learning_rate": 2.166666666666667e-06,
|
1171 |
+
"loss": 0.0008,
|
1172 |
+
"step": 4025
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 7.879377431906615,
|
1176 |
+
"grad_norm": 0.038502488285303116,
|
1177 |
+
"learning_rate": 2.1111111111111114e-06,
|
1178 |
+
"loss": 0.0014,
|
1179 |
+
"step": 4050
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 7.928015564202335,
|
1183 |
+
"grad_norm": 0.06861083209514618,
|
1184 |
+
"learning_rate": 2.0555555555555555e-06,
|
1185 |
+
"loss": 0.0009,
|
1186 |
+
"step": 4075
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 7.976653696498055,
|
1190 |
+
"grad_norm": 0.07425787299871445,
|
1191 |
+
"learning_rate": 2.0000000000000003e-06,
|
1192 |
+
"loss": 0.0011,
|
1193 |
+
"step": 4100
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 8.025291828793774,
|
1197 |
+
"grad_norm": 0.025021173059940338,
|
1198 |
+
"learning_rate": 1.944444444444445e-06,
|
1199 |
+
"loss": 0.0006,
|
1200 |
+
"step": 4125
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 8.073929961089494,
|
1204 |
+
"grad_norm": 0.031610701233148575,
|
1205 |
+
"learning_rate": 1.888888888888889e-06,
|
1206 |
+
"loss": 0.0006,
|
1207 |
+
"step": 4150
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 8.122568093385214,
|
1211 |
+
"grad_norm": 0.02210886962711811,
|
1212 |
+
"learning_rate": 1.8333333333333333e-06,
|
1213 |
+
"loss": 0.0008,
|
1214 |
+
"step": 4175
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 8.171206225680933,
|
1218 |
+
"grad_norm": 0.03183664008975029,
|
1219 |
+
"learning_rate": 1.777777777777778e-06,
|
1220 |
+
"loss": 0.0007,
|
1221 |
+
"step": 4200
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 8.219844357976653,
|
1225 |
+
"grad_norm": 0.024653365835547447,
|
1226 |
+
"learning_rate": 1.7222222222222224e-06,
|
1227 |
+
"loss": 0.0005,
|
1228 |
+
"step": 4225
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 8.268482490272374,
|
1232 |
+
"grad_norm": 0.02229795977473259,
|
1233 |
+
"learning_rate": 1.6666666666666667e-06,
|
1234 |
+
"loss": 0.0005,
|
1235 |
+
"step": 4250
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 8.317120622568094,
|
1239 |
+
"grad_norm": 0.025678085163235664,
|
1240 |
+
"learning_rate": 1.6111111111111113e-06,
|
1241 |
+
"loss": 0.0005,
|
1242 |
+
"step": 4275
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 8.365758754863814,
|
1246 |
+
"grad_norm": 0.025166384875774384,
|
1247 |
+
"learning_rate": 1.5555555555555558e-06,
|
1248 |
+
"loss": 0.0005,
|
1249 |
+
"step": 4300
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 8.414396887159533,
|
1253 |
+
"grad_norm": 0.017260603606700897,
|
1254 |
+
"learning_rate": 1.5e-06,
|
1255 |
+
"loss": 0.0005,
|
1256 |
+
"step": 4325
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 8.463035019455253,
|
1260 |
+
"grad_norm": 0.016240952536463737,
|
1261 |
+
"learning_rate": 1.4444444444444445e-06,
|
1262 |
+
"loss": 0.0005,
|
1263 |
+
"step": 4350
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 8.511673151750973,
|
1267 |
+
"grad_norm": 0.021515797823667526,
|
1268 |
+
"learning_rate": 1.3888888888888892e-06,
|
1269 |
+
"loss": 0.0006,
|
1270 |
+
"step": 4375
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 8.560311284046692,
|
1274 |
+
"grad_norm": 0.023731861263513565,
|
1275 |
+
"learning_rate": 1.3333333333333334e-06,
|
1276 |
+
"loss": 0.0006,
|
1277 |
+
"step": 4400
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 8.608949416342412,
|
1281 |
+
"grad_norm": 0.027586709707975388,
|
1282 |
+
"learning_rate": 1.2777777777777779e-06,
|
1283 |
+
"loss": 0.0006,
|
1284 |
+
"step": 4425
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 8.657587548638132,
|
1288 |
+
"grad_norm": 0.04710078611969948,
|
1289 |
+
"learning_rate": 1.2222222222222223e-06,
|
1290 |
+
"loss": 0.0005,
|
1291 |
+
"step": 4450
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 8.706225680933851,
|
1295 |
+
"grad_norm": 0.030895188450813293,
|
1296 |
+
"learning_rate": 1.1666666666666668e-06,
|
1297 |
+
"loss": 0.0005,
|
1298 |
+
"step": 4475
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 8.754863813229573,
|
1302 |
+
"grad_norm": 0.04257024824619293,
|
1303 |
+
"learning_rate": 1.111111111111111e-06,
|
1304 |
+
"loss": 0.0006,
|
1305 |
+
"step": 4500
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 8.803501945525293,
|
1309 |
+
"grad_norm": 0.022679895162582397,
|
1310 |
+
"learning_rate": 1.0555555555555557e-06,
|
1311 |
+
"loss": 0.0006,
|
1312 |
+
"step": 4525
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 8.852140077821012,
|
1316 |
+
"grad_norm": 0.028052836656570435,
|
1317 |
+
"learning_rate": 1.0000000000000002e-06,
|
1318 |
+
"loss": 0.0006,
|
1319 |
+
"step": 4550
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 8.900778210116732,
|
1323 |
+
"grad_norm": 0.022373031824827194,
|
1324 |
+
"learning_rate": 9.444444444444445e-07,
|
1325 |
+
"loss": 0.0005,
|
1326 |
+
"step": 4575
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 8.949416342412452,
|
1330 |
+
"grad_norm": 0.02304161712527275,
|
1331 |
+
"learning_rate": 8.88888888888889e-07,
|
1332 |
+
"loss": 0.0005,
|
1333 |
+
"step": 4600
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 8.998054474708171,
|
1337 |
+
"grad_norm": 0.020944086834788322,
|
1338 |
+
"learning_rate": 8.333333333333333e-07,
|
1339 |
+
"loss": 0.0005,
|
1340 |
+
"step": 4625
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 9.04669260700389,
|
1344 |
+
"grad_norm": 0.018772481009364128,
|
1345 |
+
"learning_rate": 7.777777777777779e-07,
|
1346 |
+
"loss": 0.0005,
|
1347 |
+
"step": 4650
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 9.09533073929961,
|
1351 |
+
"grad_norm": 0.019685110077261925,
|
1352 |
+
"learning_rate": 7.222222222222222e-07,
|
1353 |
+
"loss": 0.0005,
|
1354 |
+
"step": 4675
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 9.14396887159533,
|
1358 |
+
"grad_norm": 0.017540233209729195,
|
1359 |
+
"learning_rate": 6.666666666666667e-07,
|
1360 |
+
"loss": 0.0004,
|
1361 |
+
"step": 4700
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 9.19260700389105,
|
1365 |
+
"grad_norm": 0.022134965285658836,
|
1366 |
+
"learning_rate": 6.111111111111112e-07,
|
1367 |
+
"loss": 0.0004,
|
1368 |
+
"step": 4725
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 9.24124513618677,
|
1372 |
+
"grad_norm": 0.01725279912352562,
|
1373 |
+
"learning_rate": 5.555555555555555e-07,
|
1374 |
+
"loss": 0.0005,
|
1375 |
+
"step": 4750
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 9.289883268482491,
|
1379 |
+
"grad_norm": 0.01975845918059349,
|
1380 |
+
"learning_rate": 5.000000000000001e-07,
|
1381 |
+
"loss": 0.0004,
|
1382 |
+
"step": 4775
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 9.33852140077821,
|
1386 |
+
"grad_norm": 0.021399999037384987,
|
1387 |
+
"learning_rate": 4.444444444444445e-07,
|
1388 |
+
"loss": 0.0005,
|
1389 |
+
"step": 4800
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 9.38715953307393,
|
1393 |
+
"grad_norm": 0.020681940019130707,
|
1394 |
+
"learning_rate": 3.8888888888888895e-07,
|
1395 |
+
"loss": 0.0004,
|
1396 |
+
"step": 4825
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 9.43579766536965,
|
1400 |
+
"grad_norm": 0.020026126876473427,
|
1401 |
+
"learning_rate": 3.3333333333333335e-07,
|
1402 |
+
"loss": 0.0005,
|
1403 |
+
"step": 4850
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 9.48443579766537,
|
1407 |
+
"grad_norm": 0.030826667323708534,
|
1408 |
+
"learning_rate": 2.7777777777777776e-07,
|
1409 |
+
"loss": 0.0004,
|
1410 |
+
"step": 4875
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 9.53307392996109,
|
1414 |
+
"grad_norm": 0.017975399270653725,
|
1415 |
+
"learning_rate": 2.2222222222222224e-07,
|
1416 |
+
"loss": 0.0004,
|
1417 |
+
"step": 4900
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 9.581712062256809,
|
1421 |
+
"grad_norm": 0.014251296408474445,
|
1422 |
+
"learning_rate": 1.6666666666666668e-07,
|
1423 |
+
"loss": 0.0005,
|
1424 |
+
"step": 4925
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 9.630350194552529,
|
1428 |
+
"grad_norm": 0.018128497526049614,
|
1429 |
+
"learning_rate": 1.1111111111111112e-07,
|
1430 |
+
"loss": 0.0005,
|
1431 |
+
"step": 4950
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 9.678988326848248,
|
1435 |
+
"grad_norm": 0.018901441246271133,
|
1436 |
+
"learning_rate": 5.555555555555556e-08,
|
1437 |
+
"loss": 0.0005,
|
1438 |
+
"step": 4975
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 9.727626459143968,
|
1442 |
+
"grad_norm": 0.01760680228471756,
|
1443 |
+
"learning_rate": 0.0,
|
1444 |
+
"loss": 0.0004,
|
1445 |
+
"step": 5000
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 9.727626459143968,
|
1449 |
+
"eval_loss": 0.36376532912254333,
|
1450 |
+
"eval_runtime": 2157.1617,
|
1451 |
+
"eval_samples_per_second": 2.494,
|
1452 |
+
"eval_steps_per_second": 0.156,
|
1453 |
+
"eval_wer": 0.18173684838363355,
|
1454 |
+
"step": 5000
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 9.727626459143968,
|
1458 |
+
"step": 5000,
|
1459 |
+
"total_flos": 5.4332453168676864e+20,
|
1460 |
+
"train_loss": 0.06844911024216563,
|
1461 |
+
"train_runtime": 58020.7767,
|
1462 |
+
"train_samples_per_second": 2.758,
|
1463 |
+
"train_steps_per_second": 0.086
|
1464 |
+
}
|
1465 |
+
],
|
1466 |
+
"logging_steps": 25,
|
1467 |
+
"max_steps": 5000,
|
1468 |
+
"num_input_tokens_seen": 0,
|
1469 |
+
"num_train_epochs": 10,
|
1470 |
+
"save_steps": 1000,
|
1471 |
+
"stateful_callbacks": {
|
1472 |
+
"TrainerControl": {
|
1473 |
+
"args": {
|
1474 |
+
"should_epoch_stop": false,
|
1475 |
+
"should_evaluate": false,
|
1476 |
+
"should_log": false,
|
1477 |
+
"should_save": true,
|
1478 |
+
"should_training_stop": true
|
1479 |
+
},
|
1480 |
+
"attributes": {}
|
1481 |
+
}
|
1482 |
+
},
|
1483 |
+
"total_flos": 5.4332453168676864e+20,
|
1484 |
+
"train_batch_size": 16,
|
1485 |
+
"trial_name": null,
|
1486 |
+
"trial_params": null
|
1487 |
+
}
|