End of training
Browse files- README.md +9 -6
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep27_23-25-05_c54d50ae23c8/events.out.tfevents.1727498610.c54d50ae23c8.384.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1487 -0
README.md
CHANGED
@@ -1,21 +1,24 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: openai/whisper-small
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
-
- common_voice_17_0
|
8 |
metrics:
|
9 |
- wer
|
10 |
model-index:
|
11 |
-
- name:
|
12 |
results:
|
13 |
- task:
|
14 |
name: Automatic Speech Recognition
|
15 |
type: automatic-speech-recognition
|
16 |
dataset:
|
17 |
-
name: common_voice_17_0
|
18 |
-
type: common_voice_17_0
|
19 |
config: es
|
20 |
split: test
|
21 |
args: es
|
@@ -28,9 +31,9 @@ model-index:
|
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
should probably proofread and complete it, then remove this comment. -->
|
30 |
|
31 |
-
#
|
32 |
|
33 |
-
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
- Loss: 0.1809
|
36 |
- Wer: 8.6345
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- es
|
4 |
license: apache-2.0
|
5 |
base_model: openai/whisper-small
|
6 |
tags:
|
7 |
+
- whisper-event
|
8 |
- generated_from_trainer
|
9 |
datasets:
|
10 |
+
- mozilla-foundation/common_voice_17_0
|
11 |
metrics:
|
12 |
- wer
|
13 |
model-index:
|
14 |
+
- name: Whisper Small Mixed-Spanish
|
15 |
results:
|
16 |
- task:
|
17 |
name: Automatic Speech Recognition
|
18 |
type: automatic-speech-recognition
|
19 |
dataset:
|
20 |
+
name: mozilla-foundation/common_voice_17_0 es
|
21 |
+
type: mozilla-foundation/common_voice_17_0
|
22 |
config: es
|
23 |
split: test
|
24 |
args: es
|
|
|
31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
32 |
should probably proofread and complete it, then remove this comment. -->
|
33 |
|
34 |
+
# Whisper Small Mixed-Spanish
|
35 |
|
36 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 es dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
- Loss: 0.1809
|
39 |
- Wer: 8.6345
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.18091823160648346,
|
4 |
+
"eval_runtime": 705.4079,
|
5 |
+
"eval_samples_per_second": 22.479,
|
6 |
+
"eval_steps_per_second": 2.811,
|
7 |
+
"eval_wer": 8.634474343167287,
|
8 |
+
"total_flos": 9.23473281024e+19,
|
9 |
+
"train_loss": 0.20034765486717224,
|
10 |
+
"train_runtime": 18318.4818,
|
11 |
+
"train_samples_per_second": 17.469,
|
12 |
+
"train_steps_per_second": 0.273
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 0.18091823160648346,
|
4 |
+
"eval_runtime": 705.4079,
|
5 |
+
"eval_samples_per_second": 22.479,
|
6 |
+
"eval_steps_per_second": 2.811,
|
7 |
+
"eval_wer": 8.634474343167287
|
8 |
+
}
|
runs/Sep27_23-25-05_c54d50ae23c8/events.out.tfevents.1727498610.c54d50ae23c8.384.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca102e178867bf6d326976b77b72c1b1754b893636a734f6435370e1bb95d6d9
|
3 |
+
size 406
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 9.23473281024e+19,
|
4 |
+
"train_loss": 0.20034765486717224,
|
5 |
+
"train_runtime": 18318.4818,
|
6 |
+
"train_samples_per_second": 17.469,
|
7 |
+
"train_steps_per_second": 0.273
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1487 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 8.634474343167287,
|
3 |
+
"best_model_checkpoint": "./whisper-small-mix-es/checkpoint-5000",
|
4 |
+
"epoch": 1.0,
|
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": 0.005,
|
13 |
+
"grad_norm": 8.203697204589844,
|
14 |
+
"learning_rate": 4.6000000000000004e-07,
|
15 |
+
"loss": 0.9882,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"grad_norm": 4.3468732833862305,
|
21 |
+
"learning_rate": 9.600000000000001e-07,
|
22 |
+
"loss": 0.9068,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.015,
|
27 |
+
"grad_norm": 3.7499096393585205,
|
28 |
+
"learning_rate": 1.46e-06,
|
29 |
+
"loss": 0.7332,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.02,
|
34 |
+
"grad_norm": 3.43481183052063,
|
35 |
+
"learning_rate": 1.9600000000000003e-06,
|
36 |
+
"loss": 0.628,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.025,
|
41 |
+
"grad_norm": 2.902010440826416,
|
42 |
+
"learning_rate": 2.46e-06,
|
43 |
+
"loss": 0.4929,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03,
|
48 |
+
"grad_norm": 2.6406397819519043,
|
49 |
+
"learning_rate": 2.96e-06,
|
50 |
+
"loss": 0.4353,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.035,
|
55 |
+
"grad_norm": 2.446483850479126,
|
56 |
+
"learning_rate": 3.46e-06,
|
57 |
+
"loss": 0.3881,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.04,
|
62 |
+
"grad_norm": 2.8479089736938477,
|
63 |
+
"learning_rate": 3.96e-06,
|
64 |
+
"loss": 0.3941,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.045,
|
69 |
+
"grad_norm": 2.583815813064575,
|
70 |
+
"learning_rate": 4.4600000000000005e-06,
|
71 |
+
"loss": 0.431,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.05,
|
76 |
+
"grad_norm": 2.4748358726501465,
|
77 |
+
"learning_rate": 4.960000000000001e-06,
|
78 |
+
"loss": 0.4073,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.055,
|
83 |
+
"grad_norm": 2.5640480518341064,
|
84 |
+
"learning_rate": 5.460000000000001e-06,
|
85 |
+
"loss": 0.4266,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.06,
|
90 |
+
"grad_norm": 2.221160650253296,
|
91 |
+
"learning_rate": 5.9600000000000005e-06,
|
92 |
+
"loss": 0.4025,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.065,
|
97 |
+
"grad_norm": 2.4895880222320557,
|
98 |
+
"learning_rate": 6.460000000000001e-06,
|
99 |
+
"loss": 0.3504,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.07,
|
104 |
+
"grad_norm": 2.318375825881958,
|
105 |
+
"learning_rate": 6.96e-06,
|
106 |
+
"loss": 0.311,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.075,
|
111 |
+
"grad_norm": 3.063900947570801,
|
112 |
+
"learning_rate": 7.4600000000000006e-06,
|
113 |
+
"loss": 0.3309,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.08,
|
118 |
+
"grad_norm": 2.898184061050415,
|
119 |
+
"learning_rate": 7.960000000000002e-06,
|
120 |
+
"loss": 0.3044,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.085,
|
125 |
+
"grad_norm": 2.2967689037323,
|
126 |
+
"learning_rate": 8.46e-06,
|
127 |
+
"loss": 0.3071,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.09,
|
132 |
+
"grad_norm": 2.990691900253296,
|
133 |
+
"learning_rate": 8.96e-06,
|
134 |
+
"loss": 0.3319,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.095,
|
139 |
+
"grad_norm": 2.604433536529541,
|
140 |
+
"learning_rate": 9.460000000000001e-06,
|
141 |
+
"loss": 0.3606,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.1,
|
146 |
+
"grad_norm": 2.8391056060791016,
|
147 |
+
"learning_rate": 9.960000000000001e-06,
|
148 |
+
"loss": 0.3517,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.105,
|
153 |
+
"grad_norm": 2.3469793796539307,
|
154 |
+
"learning_rate": 9.94888888888889e-06,
|
155 |
+
"loss": 0.3338,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.11,
|
160 |
+
"grad_norm": 1.7184339761734009,
|
161 |
+
"learning_rate": 9.893333333333334e-06,
|
162 |
+
"loss": 0.3195,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.115,
|
167 |
+
"grad_norm": 2.248863697052002,
|
168 |
+
"learning_rate": 9.837777777777778e-06,
|
169 |
+
"loss": 0.2926,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.12,
|
174 |
+
"grad_norm": 2.592674970626831,
|
175 |
+
"learning_rate": 9.782222222222222e-06,
|
176 |
+
"loss": 0.3141,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.125,
|
181 |
+
"grad_norm": 1.9537230730056763,
|
182 |
+
"learning_rate": 9.726666666666668e-06,
|
183 |
+
"loss": 0.2778,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.13,
|
188 |
+
"grad_norm": 2.4650800228118896,
|
189 |
+
"learning_rate": 9.671111111111112e-06,
|
190 |
+
"loss": 0.2952,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.135,
|
195 |
+
"grad_norm": 2.378822088241577,
|
196 |
+
"learning_rate": 9.615555555555558e-06,
|
197 |
+
"loss": 0.3339,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.14,
|
202 |
+
"grad_norm": 2.6371264457702637,
|
203 |
+
"learning_rate": 9.56e-06,
|
204 |
+
"loss": 0.3843,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.145,
|
209 |
+
"grad_norm": 2.7936806678771973,
|
210 |
+
"learning_rate": 9.504444444444446e-06,
|
211 |
+
"loss": 0.3703,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.15,
|
216 |
+
"grad_norm": 2.70261287689209,
|
217 |
+
"learning_rate": 9.44888888888889e-06,
|
218 |
+
"loss": 0.359,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.155,
|
223 |
+
"grad_norm": 2.0972862243652344,
|
224 |
+
"learning_rate": 9.393333333333334e-06,
|
225 |
+
"loss": 0.2747,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.16,
|
230 |
+
"grad_norm": 2.8365142345428467,
|
231 |
+
"learning_rate": 9.33777777777778e-06,
|
232 |
+
"loss": 0.2849,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.165,
|
237 |
+
"grad_norm": 2.2393555641174316,
|
238 |
+
"learning_rate": 9.282222222222222e-06,
|
239 |
+
"loss": 0.2273,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.17,
|
244 |
+
"grad_norm": 1.7303996086120605,
|
245 |
+
"learning_rate": 9.226666666666668e-06,
|
246 |
+
"loss": 0.2102,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.175,
|
251 |
+
"grad_norm": 2.153916597366333,
|
252 |
+
"learning_rate": 9.171111111111112e-06,
|
253 |
+
"loss": 0.3088,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.18,
|
258 |
+
"grad_norm": 2.3928215503692627,
|
259 |
+
"learning_rate": 9.115555555555556e-06,
|
260 |
+
"loss": 0.2912,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.185,
|
265 |
+
"grad_norm": 2.6662864685058594,
|
266 |
+
"learning_rate": 9.060000000000001e-06,
|
267 |
+
"loss": 0.2926,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.19,
|
272 |
+
"grad_norm": 2.274172067642212,
|
273 |
+
"learning_rate": 9.004444444444445e-06,
|
274 |
+
"loss": 0.2777,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.195,
|
279 |
+
"grad_norm": 2.453396797180176,
|
280 |
+
"learning_rate": 8.94888888888889e-06,
|
281 |
+
"loss": 0.2869,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.2,
|
286 |
+
"grad_norm": 2.171252489089966,
|
287 |
+
"learning_rate": 8.893333333333333e-06,
|
288 |
+
"loss": 0.247,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.2,
|
293 |
+
"eval_loss": 0.21598759293556213,
|
294 |
+
"eval_runtime": 708.6287,
|
295 |
+
"eval_samples_per_second": 22.377,
|
296 |
+
"eval_steps_per_second": 2.798,
|
297 |
+
"eval_wer": 10.397468000457591,
|
298 |
+
"step": 1000
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.205,
|
302 |
+
"grad_norm": 2.494718313217163,
|
303 |
+
"learning_rate": 8.83777777777778e-06,
|
304 |
+
"loss": 0.2519,
|
305 |
+
"step": 1025
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.21,
|
309 |
+
"grad_norm": 1.5458056926727295,
|
310 |
+
"learning_rate": 8.782222222222223e-06,
|
311 |
+
"loss": 0.2523,
|
312 |
+
"step": 1050
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.215,
|
316 |
+
"grad_norm": 1.856636643409729,
|
317 |
+
"learning_rate": 8.726666666666667e-06,
|
318 |
+
"loss": 0.2481,
|
319 |
+
"step": 1075
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.22,
|
323 |
+
"grad_norm": 2.324716091156006,
|
324 |
+
"learning_rate": 8.671111111111113e-06,
|
325 |
+
"loss": 0.2453,
|
326 |
+
"step": 1100
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.225,
|
330 |
+
"grad_norm": 1.7981597185134888,
|
331 |
+
"learning_rate": 8.615555555555555e-06,
|
332 |
+
"loss": 0.2297,
|
333 |
+
"step": 1125
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.23,
|
337 |
+
"grad_norm": 2.4602575302124023,
|
338 |
+
"learning_rate": 8.560000000000001e-06,
|
339 |
+
"loss": 0.2492,
|
340 |
+
"step": 1150
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.235,
|
344 |
+
"grad_norm": 2.964137077331543,
|
345 |
+
"learning_rate": 8.504444444444445e-06,
|
346 |
+
"loss": 0.2793,
|
347 |
+
"step": 1175
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.24,
|
351 |
+
"grad_norm": 2.031019687652588,
|
352 |
+
"learning_rate": 8.448888888888889e-06,
|
353 |
+
"loss": 0.3005,
|
354 |
+
"step": 1200
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.245,
|
358 |
+
"grad_norm": 2.0715112686157227,
|
359 |
+
"learning_rate": 8.393333333333335e-06,
|
360 |
+
"loss": 0.2397,
|
361 |
+
"step": 1225
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.25,
|
365 |
+
"grad_norm": 2.2880711555480957,
|
366 |
+
"learning_rate": 8.337777777777777e-06,
|
367 |
+
"loss": 0.251,
|
368 |
+
"step": 1250
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.255,
|
372 |
+
"grad_norm": 2.0177316665649414,
|
373 |
+
"learning_rate": 8.282222222222223e-06,
|
374 |
+
"loss": 0.2234,
|
375 |
+
"step": 1275
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.26,
|
379 |
+
"grad_norm": 2.3861050605773926,
|
380 |
+
"learning_rate": 8.226666666666667e-06,
|
381 |
+
"loss": 0.2855,
|
382 |
+
"step": 1300
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.265,
|
386 |
+
"grad_norm": 2.8440380096435547,
|
387 |
+
"learning_rate": 8.171111111111113e-06,
|
388 |
+
"loss": 0.2608,
|
389 |
+
"step": 1325
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.27,
|
393 |
+
"grad_norm": 2.476083993911743,
|
394 |
+
"learning_rate": 8.115555555555557e-06,
|
395 |
+
"loss": 0.255,
|
396 |
+
"step": 1350
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.275,
|
400 |
+
"grad_norm": 2.3754682540893555,
|
401 |
+
"learning_rate": 8.06e-06,
|
402 |
+
"loss": 0.2479,
|
403 |
+
"step": 1375
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.28,
|
407 |
+
"grad_norm": 2.507122755050659,
|
408 |
+
"learning_rate": 8.004444444444445e-06,
|
409 |
+
"loss": 0.2426,
|
410 |
+
"step": 1400
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.285,
|
414 |
+
"grad_norm": 2.9778430461883545,
|
415 |
+
"learning_rate": 7.948888888888889e-06,
|
416 |
+
"loss": 0.2644,
|
417 |
+
"step": 1425
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.29,
|
421 |
+
"grad_norm": 2.6550915241241455,
|
422 |
+
"learning_rate": 7.893333333333335e-06,
|
423 |
+
"loss": 0.2544,
|
424 |
+
"step": 1450
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.295,
|
428 |
+
"grad_norm": 2.50137996673584,
|
429 |
+
"learning_rate": 7.837777777777779e-06,
|
430 |
+
"loss": 0.3037,
|
431 |
+
"step": 1475
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.3,
|
435 |
+
"grad_norm": 2.3021984100341797,
|
436 |
+
"learning_rate": 7.782222222222223e-06,
|
437 |
+
"loss": 0.2831,
|
438 |
+
"step": 1500
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.305,
|
442 |
+
"grad_norm": 2.2827396392822266,
|
443 |
+
"learning_rate": 7.726666666666667e-06,
|
444 |
+
"loss": 0.2387,
|
445 |
+
"step": 1525
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.31,
|
449 |
+
"grad_norm": 1.9767779111862183,
|
450 |
+
"learning_rate": 7.67111111111111e-06,
|
451 |
+
"loss": 0.2293,
|
452 |
+
"step": 1550
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.315,
|
456 |
+
"grad_norm": 2.132072687149048,
|
457 |
+
"learning_rate": 7.6155555555555564e-06,
|
458 |
+
"loss": 0.1855,
|
459 |
+
"step": 1575
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.32,
|
463 |
+
"grad_norm": 2.581895112991333,
|
464 |
+
"learning_rate": 7.5600000000000005e-06,
|
465 |
+
"loss": 0.208,
|
466 |
+
"step": 1600
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.325,
|
470 |
+
"grad_norm": 2.436007261276245,
|
471 |
+
"learning_rate": 7.504444444444445e-06,
|
472 |
+
"loss": 0.2112,
|
473 |
+
"step": 1625
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.33,
|
477 |
+
"grad_norm": 2.5022451877593994,
|
478 |
+
"learning_rate": 7.44888888888889e-06,
|
479 |
+
"loss": 0.2001,
|
480 |
+
"step": 1650
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.335,
|
484 |
+
"grad_norm": 2.7856762409210205,
|
485 |
+
"learning_rate": 7.393333333333333e-06,
|
486 |
+
"loss": 0.2304,
|
487 |
+
"step": 1675
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.34,
|
491 |
+
"grad_norm": 3.307318925857544,
|
492 |
+
"learning_rate": 7.337777777777778e-06,
|
493 |
+
"loss": 0.2489,
|
494 |
+
"step": 1700
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.345,
|
498 |
+
"grad_norm": 2.104020118713379,
|
499 |
+
"learning_rate": 7.282222222222222e-06,
|
500 |
+
"loss": 0.204,
|
501 |
+
"step": 1725
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.35,
|
505 |
+
"grad_norm": 2.099266529083252,
|
506 |
+
"learning_rate": 7.226666666666667e-06,
|
507 |
+
"loss": 0.1787,
|
508 |
+
"step": 1750
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.355,
|
512 |
+
"grad_norm": 2.0971200466156006,
|
513 |
+
"learning_rate": 7.171111111111112e-06,
|
514 |
+
"loss": 0.1672,
|
515 |
+
"step": 1775
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.36,
|
519 |
+
"grad_norm": 1.7668758630752563,
|
520 |
+
"learning_rate": 7.115555555555557e-06,
|
521 |
+
"loss": 0.1537,
|
522 |
+
"step": 1800
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 0.365,
|
526 |
+
"grad_norm": 2.1447267532348633,
|
527 |
+
"learning_rate": 7.06e-06,
|
528 |
+
"loss": 0.1568,
|
529 |
+
"step": 1825
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.37,
|
533 |
+
"grad_norm": 2.092658758163452,
|
534 |
+
"learning_rate": 7.004444444444445e-06,
|
535 |
+
"loss": 0.1509,
|
536 |
+
"step": 1850
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.375,
|
540 |
+
"grad_norm": 2.127138614654541,
|
541 |
+
"learning_rate": 6.948888888888889e-06,
|
542 |
+
"loss": 0.1447,
|
543 |
+
"step": 1875
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.38,
|
547 |
+
"grad_norm": 1.7736611366271973,
|
548 |
+
"learning_rate": 6.893333333333334e-06,
|
549 |
+
"loss": 0.1479,
|
550 |
+
"step": 1900
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.385,
|
554 |
+
"grad_norm": 1.845276951789856,
|
555 |
+
"learning_rate": 6.837777777777779e-06,
|
556 |
+
"loss": 0.1402,
|
557 |
+
"step": 1925
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.39,
|
561 |
+
"grad_norm": 2.130812883377075,
|
562 |
+
"learning_rate": 6.782222222222222e-06,
|
563 |
+
"loss": 0.1394,
|
564 |
+
"step": 1950
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.395,
|
568 |
+
"grad_norm": 1.9191032648086548,
|
569 |
+
"learning_rate": 6.726666666666667e-06,
|
570 |
+
"loss": 0.1491,
|
571 |
+
"step": 1975
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.4,
|
575 |
+
"grad_norm": 1.805740237236023,
|
576 |
+
"learning_rate": 6.671111111111112e-06,
|
577 |
+
"loss": 0.1337,
|
578 |
+
"step": 2000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.4,
|
582 |
+
"eval_loss": 0.20104137063026428,
|
583 |
+
"eval_runtime": 702.6623,
|
584 |
+
"eval_samples_per_second": 22.567,
|
585 |
+
"eval_steps_per_second": 2.822,
|
586 |
+
"eval_wer": 9.674856685266864,
|
587 |
+
"step": 2000
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.405,
|
591 |
+
"grad_norm": 2.0551412105560303,
|
592 |
+
"learning_rate": 6.615555555555556e-06,
|
593 |
+
"loss": 0.1269,
|
594 |
+
"step": 2025
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.41,
|
598 |
+
"grad_norm": 2.093939781188965,
|
599 |
+
"learning_rate": 6.560000000000001e-06,
|
600 |
+
"loss": 0.1412,
|
601 |
+
"step": 2050
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.415,
|
605 |
+
"grad_norm": 2.695679187774658,
|
606 |
+
"learning_rate": 6.504444444444446e-06,
|
607 |
+
"loss": 0.1537,
|
608 |
+
"step": 2075
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.42,
|
612 |
+
"grad_norm": 2.2882978916168213,
|
613 |
+
"learning_rate": 6.448888888888889e-06,
|
614 |
+
"loss": 0.1669,
|
615 |
+
"step": 2100
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.425,
|
619 |
+
"grad_norm": 1.3621838092803955,
|
620 |
+
"learning_rate": 6.393333333333334e-06,
|
621 |
+
"loss": 0.1607,
|
622 |
+
"step": 2125
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 0.43,
|
626 |
+
"grad_norm": 2.160801410675049,
|
627 |
+
"learning_rate": 6.3377777777777786e-06,
|
628 |
+
"loss": 0.1482,
|
629 |
+
"step": 2150
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.435,
|
633 |
+
"grad_norm": 2.119140863418579,
|
634 |
+
"learning_rate": 6.282222222222223e-06,
|
635 |
+
"loss": 0.1552,
|
636 |
+
"step": 2175
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.44,
|
640 |
+
"grad_norm": 1.6484750509262085,
|
641 |
+
"learning_rate": 6.2266666666666675e-06,
|
642 |
+
"loss": 0.1592,
|
643 |
+
"step": 2200
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 0.445,
|
647 |
+
"grad_norm": 1.9934930801391602,
|
648 |
+
"learning_rate": 6.171111111111112e-06,
|
649 |
+
"loss": 0.1527,
|
650 |
+
"step": 2225
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.45,
|
654 |
+
"grad_norm": 1.8050808906555176,
|
655 |
+
"learning_rate": 6.1155555555555555e-06,
|
656 |
+
"loss": 0.1487,
|
657 |
+
"step": 2250
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.455,
|
661 |
+
"grad_norm": 2.1619839668273926,
|
662 |
+
"learning_rate": 6.0600000000000004e-06,
|
663 |
+
"loss": 0.1462,
|
664 |
+
"step": 2275
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.46,
|
668 |
+
"grad_norm": 2.169475555419922,
|
669 |
+
"learning_rate": 6.004444444444445e-06,
|
670 |
+
"loss": 0.1566,
|
671 |
+
"step": 2300
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.465,
|
675 |
+
"grad_norm": 2.3247809410095215,
|
676 |
+
"learning_rate": 5.948888888888889e-06,
|
677 |
+
"loss": 0.1527,
|
678 |
+
"step": 2325
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.47,
|
682 |
+
"grad_norm": 1.519680380821228,
|
683 |
+
"learning_rate": 5.893333333333334e-06,
|
684 |
+
"loss": 0.1368,
|
685 |
+
"step": 2350
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.475,
|
689 |
+
"grad_norm": 1.9055320024490356,
|
690 |
+
"learning_rate": 5.837777777777777e-06,
|
691 |
+
"loss": 0.13,
|
692 |
+
"step": 2375
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.48,
|
696 |
+
"grad_norm": 1.674070954322815,
|
697 |
+
"learning_rate": 5.782222222222222e-06,
|
698 |
+
"loss": 0.1236,
|
699 |
+
"step": 2400
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.485,
|
703 |
+
"grad_norm": 2.0586557388305664,
|
704 |
+
"learning_rate": 5.726666666666667e-06,
|
705 |
+
"loss": 0.1353,
|
706 |
+
"step": 2425
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.49,
|
710 |
+
"grad_norm": 2.190614700317383,
|
711 |
+
"learning_rate": 5.671111111111112e-06,
|
712 |
+
"loss": 0.1294,
|
713 |
+
"step": 2450
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.495,
|
717 |
+
"grad_norm": 1.7952390909194946,
|
718 |
+
"learning_rate": 5.615555555555556e-06,
|
719 |
+
"loss": 0.1371,
|
720 |
+
"step": 2475
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.5,
|
724 |
+
"grad_norm": 1.9759557247161865,
|
725 |
+
"learning_rate": 5.560000000000001e-06,
|
726 |
+
"loss": 0.1525,
|
727 |
+
"step": 2500
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.505,
|
731 |
+
"grad_norm": 1.5587725639343262,
|
732 |
+
"learning_rate": 5.504444444444444e-06,
|
733 |
+
"loss": 0.1334,
|
734 |
+
"step": 2525
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.51,
|
738 |
+
"grad_norm": 1.9309734106063843,
|
739 |
+
"learning_rate": 5.448888888888889e-06,
|
740 |
+
"loss": 0.1277,
|
741 |
+
"step": 2550
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.515,
|
745 |
+
"grad_norm": 1.6689786911010742,
|
746 |
+
"learning_rate": 5.393333333333334e-06,
|
747 |
+
"loss": 0.1312,
|
748 |
+
"step": 2575
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 0.52,
|
752 |
+
"grad_norm": 1.5617754459381104,
|
753 |
+
"learning_rate": 5.337777777777779e-06,
|
754 |
+
"loss": 0.1421,
|
755 |
+
"step": 2600
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 0.525,
|
759 |
+
"grad_norm": 2.1239089965820312,
|
760 |
+
"learning_rate": 5.282222222222223e-06,
|
761 |
+
"loss": 0.1338,
|
762 |
+
"step": 2625
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.53,
|
766 |
+
"grad_norm": 1.6004153490066528,
|
767 |
+
"learning_rate": 5.226666666666667e-06,
|
768 |
+
"loss": 0.1363,
|
769 |
+
"step": 2650
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.535,
|
773 |
+
"grad_norm": 1.5653680562973022,
|
774 |
+
"learning_rate": 5.171111111111111e-06,
|
775 |
+
"loss": 0.1309,
|
776 |
+
"step": 2675
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.54,
|
780 |
+
"grad_norm": 1.5964562892913818,
|
781 |
+
"learning_rate": 5.115555555555556e-06,
|
782 |
+
"loss": 0.133,
|
783 |
+
"step": 2700
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.545,
|
787 |
+
"grad_norm": 1.9546246528625488,
|
788 |
+
"learning_rate": 5.060000000000001e-06,
|
789 |
+
"loss": 0.1281,
|
790 |
+
"step": 2725
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 0.55,
|
794 |
+
"grad_norm": 1.6310886144638062,
|
795 |
+
"learning_rate": 5.004444444444445e-06,
|
796 |
+
"loss": 0.1361,
|
797 |
+
"step": 2750
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 0.555,
|
801 |
+
"grad_norm": 1.7071685791015625,
|
802 |
+
"learning_rate": 4.94888888888889e-06,
|
803 |
+
"loss": 0.1382,
|
804 |
+
"step": 2775
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.56,
|
808 |
+
"grad_norm": 1.6160541772842407,
|
809 |
+
"learning_rate": 4.893333333333334e-06,
|
810 |
+
"loss": 0.1394,
|
811 |
+
"step": 2800
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 0.565,
|
815 |
+
"grad_norm": 1.4931234121322632,
|
816 |
+
"learning_rate": 4.837777777777778e-06,
|
817 |
+
"loss": 0.1221,
|
818 |
+
"step": 2825
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.57,
|
822 |
+
"grad_norm": 1.4717397689819336,
|
823 |
+
"learning_rate": 4.7822222222222226e-06,
|
824 |
+
"loss": 0.1106,
|
825 |
+
"step": 2850
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.575,
|
829 |
+
"grad_norm": 1.334092140197754,
|
830 |
+
"learning_rate": 4.7266666666666674e-06,
|
831 |
+
"loss": 0.1299,
|
832 |
+
"step": 2875
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 0.58,
|
836 |
+
"grad_norm": 1.9642376899719238,
|
837 |
+
"learning_rate": 4.6711111111111115e-06,
|
838 |
+
"loss": 0.1509,
|
839 |
+
"step": 2900
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 0.585,
|
843 |
+
"grad_norm": 1.5685168504714966,
|
844 |
+
"learning_rate": 4.6155555555555555e-06,
|
845 |
+
"loss": 0.1367,
|
846 |
+
"step": 2925
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 0.59,
|
850 |
+
"grad_norm": 1.2653120756149292,
|
851 |
+
"learning_rate": 4.56e-06,
|
852 |
+
"loss": 0.1228,
|
853 |
+
"step": 2950
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 0.595,
|
857 |
+
"grad_norm": 1.6056393384933472,
|
858 |
+
"learning_rate": 4.504444444444444e-06,
|
859 |
+
"loss": 0.1081,
|
860 |
+
"step": 2975
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.6,
|
864 |
+
"grad_norm": 2.4478392601013184,
|
865 |
+
"learning_rate": 4.448888888888889e-06,
|
866 |
+
"loss": 0.1401,
|
867 |
+
"step": 3000
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.6,
|
871 |
+
"eval_loss": 0.19045059382915497,
|
872 |
+
"eval_runtime": 711.5811,
|
873 |
+
"eval_samples_per_second": 22.284,
|
874 |
+
"eval_steps_per_second": 2.787,
|
875 |
+
"eval_wer": 9.094606790131303,
|
876 |
+
"step": 3000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 0.605,
|
880 |
+
"grad_norm": 1.8749899864196777,
|
881 |
+
"learning_rate": 4.393333333333334e-06,
|
882 |
+
"loss": 0.1864,
|
883 |
+
"step": 3025
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 0.61,
|
887 |
+
"grad_norm": 1.5327539443969727,
|
888 |
+
"learning_rate": 4.337777777777778e-06,
|
889 |
+
"loss": 0.184,
|
890 |
+
"step": 3050
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.615,
|
894 |
+
"grad_norm": 2.0878913402557373,
|
895 |
+
"learning_rate": 4.282222222222222e-06,
|
896 |
+
"loss": 0.1969,
|
897 |
+
"step": 3075
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.62,
|
901 |
+
"grad_norm": 2.027475118637085,
|
902 |
+
"learning_rate": 4.226666666666667e-06,
|
903 |
+
"loss": 0.1979,
|
904 |
+
"step": 3100
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 0.625,
|
908 |
+
"grad_norm": 1.4763484001159668,
|
909 |
+
"learning_rate": 4.171111111111111e-06,
|
910 |
+
"loss": 0.1807,
|
911 |
+
"step": 3125
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.63,
|
915 |
+
"grad_norm": 2.0090372562408447,
|
916 |
+
"learning_rate": 4.115555555555556e-06,
|
917 |
+
"loss": 0.1498,
|
918 |
+
"step": 3150
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 0.635,
|
922 |
+
"grad_norm": 1.4188919067382812,
|
923 |
+
"learning_rate": 4.060000000000001e-06,
|
924 |
+
"loss": 0.1308,
|
925 |
+
"step": 3175
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 0.64,
|
929 |
+
"grad_norm": 1.6923434734344482,
|
930 |
+
"learning_rate": 4.004444444444445e-06,
|
931 |
+
"loss": 0.1422,
|
932 |
+
"step": 3200
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.645,
|
936 |
+
"grad_norm": 1.8720096349716187,
|
937 |
+
"learning_rate": 3.948888888888889e-06,
|
938 |
+
"loss": 0.133,
|
939 |
+
"step": 3225
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.65,
|
943 |
+
"grad_norm": 1.367676854133606,
|
944 |
+
"learning_rate": 3.893333333333333e-06,
|
945 |
+
"loss": 0.1265,
|
946 |
+
"step": 3250
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 0.655,
|
950 |
+
"grad_norm": 1.9834328889846802,
|
951 |
+
"learning_rate": 3.837777777777778e-06,
|
952 |
+
"loss": 0.1323,
|
953 |
+
"step": 3275
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.66,
|
957 |
+
"grad_norm": 2.014779567718506,
|
958 |
+
"learning_rate": 3.782222222222223e-06,
|
959 |
+
"loss": 0.141,
|
960 |
+
"step": 3300
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 0.665,
|
964 |
+
"grad_norm": 1.3820104598999023,
|
965 |
+
"learning_rate": 3.726666666666667e-06,
|
966 |
+
"loss": 0.1308,
|
967 |
+
"step": 3325
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 0.67,
|
971 |
+
"grad_norm": 1.9776164293289185,
|
972 |
+
"learning_rate": 3.6711111111111113e-06,
|
973 |
+
"loss": 0.1331,
|
974 |
+
"step": 3350
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.675,
|
978 |
+
"grad_norm": 1.625608205795288,
|
979 |
+
"learning_rate": 3.615555555555556e-06,
|
980 |
+
"loss": 0.116,
|
981 |
+
"step": 3375
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.68,
|
985 |
+
"grad_norm": 1.7291717529296875,
|
986 |
+
"learning_rate": 3.5600000000000002e-06,
|
987 |
+
"loss": 0.1068,
|
988 |
+
"step": 3400
|
989 |
+
},
|
990 |
+
{
|
991 |
+
"epoch": 0.685,
|
992 |
+
"grad_norm": 1.7692865133285522,
|
993 |
+
"learning_rate": 3.5044444444444447e-06,
|
994 |
+
"loss": 0.1134,
|
995 |
+
"step": 3425
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.69,
|
999 |
+
"grad_norm": 1.9377959966659546,
|
1000 |
+
"learning_rate": 3.4488888888888896e-06,
|
1001 |
+
"loss": 0.1939,
|
1002 |
+
"step": 3450
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 0.695,
|
1006 |
+
"grad_norm": 2.1209535598754883,
|
1007 |
+
"learning_rate": 3.3933333333333336e-06,
|
1008 |
+
"loss": 0.2623,
|
1009 |
+
"step": 3475
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 0.7,
|
1013 |
+
"grad_norm": 2.0836637020111084,
|
1014 |
+
"learning_rate": 3.337777777777778e-06,
|
1015 |
+
"loss": 0.2272,
|
1016 |
+
"step": 3500
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.705,
|
1020 |
+
"grad_norm": 1.8429718017578125,
|
1021 |
+
"learning_rate": 3.282222222222223e-06,
|
1022 |
+
"loss": 0.2041,
|
1023 |
+
"step": 3525
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.71,
|
1027 |
+
"grad_norm": 1.7450307607650757,
|
1028 |
+
"learning_rate": 3.226666666666667e-06,
|
1029 |
+
"loss": 0.224,
|
1030 |
+
"step": 3550
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 0.715,
|
1034 |
+
"grad_norm": 2.0255823135375977,
|
1035 |
+
"learning_rate": 3.1711111111111114e-06,
|
1036 |
+
"loss": 0.2067,
|
1037 |
+
"step": 3575
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.72,
|
1041 |
+
"grad_norm": 2.1434662342071533,
|
1042 |
+
"learning_rate": 3.1155555555555555e-06,
|
1043 |
+
"loss": 0.182,
|
1044 |
+
"step": 3600
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.725,
|
1048 |
+
"grad_norm": 1.3078871965408325,
|
1049 |
+
"learning_rate": 3.0600000000000003e-06,
|
1050 |
+
"loss": 0.1625,
|
1051 |
+
"step": 3625
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.73,
|
1055 |
+
"grad_norm": 1.7805925607681274,
|
1056 |
+
"learning_rate": 3.004444444444445e-06,
|
1057 |
+
"loss": 0.1701,
|
1058 |
+
"step": 3650
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.735,
|
1062 |
+
"grad_norm": 1.5756222009658813,
|
1063 |
+
"learning_rate": 2.948888888888889e-06,
|
1064 |
+
"loss": 0.1473,
|
1065 |
+
"step": 3675
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.74,
|
1069 |
+
"grad_norm": 1.343863844871521,
|
1070 |
+
"learning_rate": 2.8933333333333337e-06,
|
1071 |
+
"loss": 0.1385,
|
1072 |
+
"step": 3700
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 0.745,
|
1076 |
+
"grad_norm": 1.7856868505477905,
|
1077 |
+
"learning_rate": 2.837777777777778e-06,
|
1078 |
+
"loss": 0.156,
|
1079 |
+
"step": 3725
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.75,
|
1083 |
+
"grad_norm": 1.6348956823349,
|
1084 |
+
"learning_rate": 2.7822222222222222e-06,
|
1085 |
+
"loss": 0.1477,
|
1086 |
+
"step": 3750
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 0.755,
|
1090 |
+
"grad_norm": 1.698569655418396,
|
1091 |
+
"learning_rate": 2.726666666666667e-06,
|
1092 |
+
"loss": 0.1488,
|
1093 |
+
"step": 3775
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.76,
|
1097 |
+
"grad_norm": 2.1124930381774902,
|
1098 |
+
"learning_rate": 2.6711111111111116e-06,
|
1099 |
+
"loss": 0.1365,
|
1100 |
+
"step": 3800
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.765,
|
1104 |
+
"grad_norm": 1.5699976682662964,
|
1105 |
+
"learning_rate": 2.6155555555555556e-06,
|
1106 |
+
"loss": 0.1438,
|
1107 |
+
"step": 3825
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.77,
|
1111 |
+
"grad_norm": 1.302807092666626,
|
1112 |
+
"learning_rate": 2.56e-06,
|
1113 |
+
"loss": 0.1238,
|
1114 |
+
"step": 3850
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 0.775,
|
1118 |
+
"grad_norm": 1.5388458967208862,
|
1119 |
+
"learning_rate": 2.504444444444445e-06,
|
1120 |
+
"loss": 0.1264,
|
1121 |
+
"step": 3875
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.78,
|
1125 |
+
"grad_norm": 1.3941725492477417,
|
1126 |
+
"learning_rate": 2.448888888888889e-06,
|
1127 |
+
"loss": 0.1182,
|
1128 |
+
"step": 3900
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 0.785,
|
1132 |
+
"grad_norm": 1.8302580118179321,
|
1133 |
+
"learning_rate": 2.3933333333333334e-06,
|
1134 |
+
"loss": 0.1201,
|
1135 |
+
"step": 3925
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 0.79,
|
1139 |
+
"grad_norm": 1.6596505641937256,
|
1140 |
+
"learning_rate": 2.337777777777778e-06,
|
1141 |
+
"loss": 0.114,
|
1142 |
+
"step": 3950
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.795,
|
1146 |
+
"grad_norm": 1.5720983743667603,
|
1147 |
+
"learning_rate": 2.2822222222222223e-06,
|
1148 |
+
"loss": 0.1149,
|
1149 |
+
"step": 3975
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.8,
|
1153 |
+
"grad_norm": 2.3143093585968018,
|
1154 |
+
"learning_rate": 2.226666666666667e-06,
|
1155 |
+
"loss": 0.1714,
|
1156 |
+
"step": 4000
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 0.8,
|
1160 |
+
"eval_loss": 0.18485930562019348,
|
1161 |
+
"eval_runtime": 702.3906,
|
1162 |
+
"eval_samples_per_second": 22.576,
|
1163 |
+
"eval_steps_per_second": 2.823,
|
1164 |
+
"eval_wer": 8.85500743584203,
|
1165 |
+
"step": 4000
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.805,
|
1169 |
+
"grad_norm": 1.8013464212417603,
|
1170 |
+
"learning_rate": 2.1711111111111113e-06,
|
1171 |
+
"loss": 0.1782,
|
1172 |
+
"step": 4025
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.81,
|
1176 |
+
"grad_norm": 1.6786607503890991,
|
1177 |
+
"learning_rate": 2.1155555555555557e-06,
|
1178 |
+
"loss": 0.1262,
|
1179 |
+
"step": 4050
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.815,
|
1183 |
+
"grad_norm": 1.412192702293396,
|
1184 |
+
"learning_rate": 2.06e-06,
|
1185 |
+
"loss": 0.1257,
|
1186 |
+
"step": 4075
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.82,
|
1190 |
+
"grad_norm": 1.5031375885009766,
|
1191 |
+
"learning_rate": 2.0044444444444446e-06,
|
1192 |
+
"loss": 0.1164,
|
1193 |
+
"step": 4100
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.825,
|
1197 |
+
"grad_norm": 1.3566547632217407,
|
1198 |
+
"learning_rate": 1.948888888888889e-06,
|
1199 |
+
"loss": 0.1238,
|
1200 |
+
"step": 4125
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.83,
|
1204 |
+
"grad_norm": 1.5606483221054077,
|
1205 |
+
"learning_rate": 1.8933333333333333e-06,
|
1206 |
+
"loss": 0.1029,
|
1207 |
+
"step": 4150
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.835,
|
1211 |
+
"grad_norm": 2.154038429260254,
|
1212 |
+
"learning_rate": 1.837777777777778e-06,
|
1213 |
+
"loss": 0.1045,
|
1214 |
+
"step": 4175
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.84,
|
1218 |
+
"grad_norm": 1.4622442722320557,
|
1219 |
+
"learning_rate": 1.7822222222222225e-06,
|
1220 |
+
"loss": 0.1091,
|
1221 |
+
"step": 4200
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.845,
|
1225 |
+
"grad_norm": 1.7122653722763062,
|
1226 |
+
"learning_rate": 1.7266666666666667e-06,
|
1227 |
+
"loss": 0.1158,
|
1228 |
+
"step": 4225
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.85,
|
1232 |
+
"grad_norm": 2.029569625854492,
|
1233 |
+
"learning_rate": 1.6711111111111112e-06,
|
1234 |
+
"loss": 0.1267,
|
1235 |
+
"step": 4250
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.855,
|
1239 |
+
"grad_norm": 1.5599546432495117,
|
1240 |
+
"learning_rate": 1.6155555555555559e-06,
|
1241 |
+
"loss": 0.1084,
|
1242 |
+
"step": 4275
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.86,
|
1246 |
+
"grad_norm": 1.735775351524353,
|
1247 |
+
"learning_rate": 1.56e-06,
|
1248 |
+
"loss": 0.1028,
|
1249 |
+
"step": 4300
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.865,
|
1253 |
+
"grad_norm": 1.6177542209625244,
|
1254 |
+
"learning_rate": 1.5044444444444446e-06,
|
1255 |
+
"loss": 0.1174,
|
1256 |
+
"step": 4325
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.87,
|
1260 |
+
"grad_norm": 1.7929385900497437,
|
1261 |
+
"learning_rate": 1.4488888888888892e-06,
|
1262 |
+
"loss": 0.1193,
|
1263 |
+
"step": 4350
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.875,
|
1267 |
+
"grad_norm": 1.6142146587371826,
|
1268 |
+
"learning_rate": 1.3933333333333335e-06,
|
1269 |
+
"loss": 0.1243,
|
1270 |
+
"step": 4375
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.88,
|
1274 |
+
"grad_norm": 1.6547541618347168,
|
1275 |
+
"learning_rate": 1.337777777777778e-06,
|
1276 |
+
"loss": 0.1413,
|
1277 |
+
"step": 4400
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.885,
|
1281 |
+
"grad_norm": 1.3043129444122314,
|
1282 |
+
"learning_rate": 1.2822222222222222e-06,
|
1283 |
+
"loss": 0.1394,
|
1284 |
+
"step": 4425
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.89,
|
1288 |
+
"grad_norm": 1.324398398399353,
|
1289 |
+
"learning_rate": 1.2266666666666666e-06,
|
1290 |
+
"loss": 0.1262,
|
1291 |
+
"step": 4450
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.895,
|
1295 |
+
"grad_norm": 1.5393497943878174,
|
1296 |
+
"learning_rate": 1.171111111111111e-06,
|
1297 |
+
"loss": 0.0991,
|
1298 |
+
"step": 4475
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.9,
|
1302 |
+
"grad_norm": 1.1875627040863037,
|
1303 |
+
"learning_rate": 1.1155555555555558e-06,
|
1304 |
+
"loss": 0.0824,
|
1305 |
+
"step": 4500
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.905,
|
1309 |
+
"grad_norm": 1.2755403518676758,
|
1310 |
+
"learning_rate": 1.06e-06,
|
1311 |
+
"loss": 0.0862,
|
1312 |
+
"step": 4525
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.91,
|
1316 |
+
"grad_norm": 1.2878875732421875,
|
1317 |
+
"learning_rate": 1.0044444444444445e-06,
|
1318 |
+
"loss": 0.0856,
|
1319 |
+
"step": 4550
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.915,
|
1323 |
+
"grad_norm": 1.5324125289916992,
|
1324 |
+
"learning_rate": 9.488888888888889e-07,
|
1325 |
+
"loss": 0.0896,
|
1326 |
+
"step": 4575
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.92,
|
1330 |
+
"grad_norm": 1.5242027044296265,
|
1331 |
+
"learning_rate": 8.933333333333334e-07,
|
1332 |
+
"loss": 0.0996,
|
1333 |
+
"step": 4600
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.925,
|
1337 |
+
"grad_norm": 1.3442718982696533,
|
1338 |
+
"learning_rate": 8.37777777777778e-07,
|
1339 |
+
"loss": 0.0914,
|
1340 |
+
"step": 4625
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.93,
|
1344 |
+
"grad_norm": 1.601271629333496,
|
1345 |
+
"learning_rate": 7.822222222222223e-07,
|
1346 |
+
"loss": 0.0891,
|
1347 |
+
"step": 4650
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.935,
|
1351 |
+
"grad_norm": 1.5180890560150146,
|
1352 |
+
"learning_rate": 7.266666666666668e-07,
|
1353 |
+
"loss": 0.0912,
|
1354 |
+
"step": 4675
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.94,
|
1358 |
+
"grad_norm": 1.3631670475006104,
|
1359 |
+
"learning_rate": 6.711111111111111e-07,
|
1360 |
+
"loss": 0.0952,
|
1361 |
+
"step": 4700
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.945,
|
1365 |
+
"grad_norm": 1.251734733581543,
|
1366 |
+
"learning_rate": 6.155555555555556e-07,
|
1367 |
+
"loss": 0.0924,
|
1368 |
+
"step": 4725
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.95,
|
1372 |
+
"grad_norm": 1.3705124855041504,
|
1373 |
+
"learning_rate": 5.6e-07,
|
1374 |
+
"loss": 0.085,
|
1375 |
+
"step": 4750
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.955,
|
1379 |
+
"grad_norm": 1.46409273147583,
|
1380 |
+
"learning_rate": 5.044444444444445e-07,
|
1381 |
+
"loss": 0.0955,
|
1382 |
+
"step": 4775
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.96,
|
1386 |
+
"grad_norm": 1.6144453287124634,
|
1387 |
+
"learning_rate": 4.488888888888889e-07,
|
1388 |
+
"loss": 0.0852,
|
1389 |
+
"step": 4800
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.965,
|
1393 |
+
"grad_norm": 1.9570475816726685,
|
1394 |
+
"learning_rate": 3.9333333333333336e-07,
|
1395 |
+
"loss": 0.0979,
|
1396 |
+
"step": 4825
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.97,
|
1400 |
+
"grad_norm": 1.666892409324646,
|
1401 |
+
"learning_rate": 3.3777777777777777e-07,
|
1402 |
+
"loss": 0.0954,
|
1403 |
+
"step": 4850
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.975,
|
1407 |
+
"grad_norm": 1.4862993955612183,
|
1408 |
+
"learning_rate": 2.822222222222222e-07,
|
1409 |
+
"loss": 0.0869,
|
1410 |
+
"step": 4875
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.98,
|
1414 |
+
"grad_norm": 1.2195048332214355,
|
1415 |
+
"learning_rate": 2.266666666666667e-07,
|
1416 |
+
"loss": 0.094,
|
1417 |
+
"step": 4900
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.985,
|
1421 |
+
"grad_norm": 1.4709336757659912,
|
1422 |
+
"learning_rate": 1.7111111111111114e-07,
|
1423 |
+
"loss": 0.0929,
|
1424 |
+
"step": 4925
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.99,
|
1428 |
+
"grad_norm": 1.3563309907913208,
|
1429 |
+
"learning_rate": 1.1555555555555556e-07,
|
1430 |
+
"loss": 0.0915,
|
1431 |
+
"step": 4950
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.995,
|
1435 |
+
"grad_norm": 1.3233599662780762,
|
1436 |
+
"learning_rate": 6.000000000000001e-08,
|
1437 |
+
"loss": 0.0937,
|
1438 |
+
"step": 4975
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 1.0,
|
1442 |
+
"grad_norm": 1.5326294898986816,
|
1443 |
+
"learning_rate": 4.444444444444445e-09,
|
1444 |
+
"loss": 0.1046,
|
1445 |
+
"step": 5000
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 1.0,
|
1449 |
+
"eval_loss": 0.18091823160648346,
|
1450 |
+
"eval_runtime": 696.7327,
|
1451 |
+
"eval_samples_per_second": 22.759,
|
1452 |
+
"eval_steps_per_second": 2.846,
|
1453 |
+
"eval_wer": 8.634474343167287,
|
1454 |
+
"step": 5000
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 1.0,
|
1458 |
+
"step": 5000,
|
1459 |
+
"total_flos": 9.23473281024e+19,
|
1460 |
+
"train_loss": 0.20034765486717224,
|
1461 |
+
"train_runtime": 18318.4818,
|
1462 |
+
"train_samples_per_second": 17.469,
|
1463 |
+
"train_steps_per_second": 0.273
|
1464 |
+
}
|
1465 |
+
],
|
1466 |
+
"logging_steps": 25,
|
1467 |
+
"max_steps": 5000,
|
1468 |
+
"num_input_tokens_seen": 0,
|
1469 |
+
"num_train_epochs": 9223372036854775807,
|
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": 9.23473281024e+19,
|
1484 |
+
"train_batch_size": 64,
|
1485 |
+
"trial_name": null,
|
1486 |
+
"trial_params": null
|
1487 |
+
}
|