End of training
Browse files- README.md +9 -6
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jan22_16-35-38_ip-172-31-23-125/events.out.tfevents.1705982552.ip-172-31-23-125.31264.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1836 -0
README.md
CHANGED
@@ -1,21 +1,24 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: openai/whisper-base
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
-
- common_voice_16_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_16_0
|
18 |
-
type: common_voice_16_0
|
19 |
config: fr
|
20 |
split: test
|
21 |
args: fr
|
@@ -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-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
- Loss: 0.5654
|
36 |
- Wer: 27.6510
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- fr
|
4 |
license: apache-2.0
|
5 |
base_model: openai/whisper-base
|
6 |
tags:
|
7 |
+
- whisper-event
|
8 |
- generated_from_trainer
|
9 |
datasets:
|
10 |
+
- mozilla-foundation/common_voice_16_0
|
11 |
metrics:
|
12 |
- wer
|
13 |
model-index:
|
14 |
+
- name: Whisper Base French
|
15 |
results:
|
16 |
- task:
|
17 |
name: Automatic Speech Recognition
|
18 |
type: automatic-speech-recognition
|
19 |
dataset:
|
20 |
+
name: mozilla-foundation/common_voice_16_0 fr
|
21 |
+
type: mozilla-foundation/common_voice_16_0
|
22 |
config: fr
|
23 |
split: test
|
24 |
args: fr
|
|
|
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 Base French
|
35 |
|
36 |
+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 fr dataset.
|
37 |
It achieves the following results on the evaluation set:
|
38 |
- Loss: 0.5654
|
39 |
- Wer: 27.6510
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 13.06,
|
3 |
+
"eval_loss": 0.5653703808784485,
|
4 |
+
"eval_runtime": 1250.3109,
|
5 |
+
"eval_samples_per_second": 12.91,
|
6 |
+
"eval_steps_per_second": 0.404,
|
7 |
+
"eval_wer": 27.650982108014144,
|
8 |
+
"train_loss": 0.5182813051768712,
|
9 |
+
"train_runtime": 39943.7657,
|
10 |
+
"train_samples_per_second": 11.216,
|
11 |
+
"train_steps_per_second": 0.175
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 13.06,
|
3 |
+
"eval_loss": 0.5653703808784485,
|
4 |
+
"eval_runtime": 1250.3109,
|
5 |
+
"eval_samples_per_second": 12.91,
|
6 |
+
"eval_steps_per_second": 0.404,
|
7 |
+
"eval_wer": 27.650982108014144
|
8 |
+
}
|
runs/Jan22_16-35-38_ip-172-31-23-125/events.out.tfevents.1705982552.ip-172-31-23-125.31264.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:309413e5ebd9c02910c7ec5f0c108d144c55ee1a1bf2ac8149a1ac93ea32995a
|
3 |
+
size 406
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 13.06,
|
3 |
+
"train_loss": 0.5182813051768712,
|
4 |
+
"train_runtime": 39943.7657,
|
5 |
+
"train_samples_per_second": 11.216,
|
6 |
+
"train_steps_per_second": 0.175
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1836 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 27.650982108014144,
|
3 |
+
"best_model_checkpoint": "./checkpoint-7000",
|
4 |
+
"epoch": 13.063071428571428,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 7000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 4.8e-08,
|
14 |
+
"loss": 1.3628,
|
15 |
+
"step": 25
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 9.8e-08,
|
20 |
+
"loss": 1.3146,
|
21 |
+
"step": 50
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 1.4799999999999998e-07,
|
26 |
+
"loss": 1.3827,
|
27 |
+
"step": 75
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 1.98e-07,
|
32 |
+
"loss": 1.288,
|
33 |
+
"step": 100
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.02,
|
37 |
+
"learning_rate": 2.48e-07,
|
38 |
+
"loss": 1.2545,
|
39 |
+
"step": 125
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.02,
|
43 |
+
"learning_rate": 2.98e-07,
|
44 |
+
"loss": 1.2401,
|
45 |
+
"step": 150
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.03,
|
49 |
+
"learning_rate": 3.4799999999999994e-07,
|
50 |
+
"loss": 1.2529,
|
51 |
+
"step": 175
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.03,
|
55 |
+
"learning_rate": 3.98e-07,
|
56 |
+
"loss": 1.25,
|
57 |
+
"step": 200
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.03,
|
61 |
+
"learning_rate": 4.48e-07,
|
62 |
+
"loss": 1.1481,
|
63 |
+
"step": 225
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.04,
|
67 |
+
"learning_rate": 4.979999999999999e-07,
|
68 |
+
"loss": 1.0013,
|
69 |
+
"step": 250
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.04,
|
73 |
+
"learning_rate": 5.48e-07,
|
74 |
+
"loss": 0.9133,
|
75 |
+
"step": 275
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.04,
|
79 |
+
"learning_rate": 5.979999999999999e-07,
|
80 |
+
"loss": 0.9555,
|
81 |
+
"step": 300
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.05,
|
85 |
+
"learning_rate": 6.48e-07,
|
86 |
+
"loss": 0.8325,
|
87 |
+
"step": 325
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.05,
|
91 |
+
"learning_rate": 6.979999999999999e-07,
|
92 |
+
"loss": 0.7611,
|
93 |
+
"step": 350
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.05,
|
97 |
+
"learning_rate": 7.48e-07,
|
98 |
+
"loss": 0.7607,
|
99 |
+
"step": 375
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.06,
|
103 |
+
"learning_rate": 7.98e-07,
|
104 |
+
"loss": 0.6794,
|
105 |
+
"step": 400
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.06,
|
109 |
+
"learning_rate": 8.48e-07,
|
110 |
+
"loss": 0.6333,
|
111 |
+
"step": 425
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.06,
|
115 |
+
"learning_rate": 8.98e-07,
|
116 |
+
"loss": 0.6445,
|
117 |
+
"step": 450
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.07,
|
121 |
+
"learning_rate": 9.479999999999999e-07,
|
122 |
+
"loss": 0.6742,
|
123 |
+
"step": 475
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.07,
|
127 |
+
"learning_rate": 9.98e-07,
|
128 |
+
"loss": 0.739,
|
129 |
+
"step": 500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.07,
|
133 |
+
"eval_loss": 0.7505670785903931,
|
134 |
+
"eval_runtime": 1365.9553,
|
135 |
+
"eval_samples_per_second": 11.817,
|
136 |
+
"eval_steps_per_second": 0.37,
|
137 |
+
"eval_wer": 35.00880999964524,
|
138 |
+
"step": 500
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 1.0,
|
142 |
+
"learning_rate": 9.963076923076924e-07,
|
143 |
+
"loss": 0.6733,
|
144 |
+
"step": 525
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.01,
|
148 |
+
"learning_rate": 9.924615384615386e-07,
|
149 |
+
"loss": 0.6337,
|
150 |
+
"step": 550
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.01,
|
154 |
+
"learning_rate": 9.886153846153845e-07,
|
155 |
+
"loss": 0.6459,
|
156 |
+
"step": 575
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.01,
|
160 |
+
"learning_rate": 9.847692307692307e-07,
|
161 |
+
"loss": 0.6253,
|
162 |
+
"step": 600
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.02,
|
166 |
+
"learning_rate": 9.809230769230769e-07,
|
167 |
+
"loss": 0.6447,
|
168 |
+
"step": 625
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.02,
|
172 |
+
"learning_rate": 9.77076923076923e-07,
|
173 |
+
"loss": 0.6424,
|
174 |
+
"step": 650
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.02,
|
178 |
+
"learning_rate": 9.732307692307692e-07,
|
179 |
+
"loss": 0.6403,
|
180 |
+
"step": 675
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 1.03,
|
184 |
+
"learning_rate": 9.693846153846154e-07,
|
185 |
+
"loss": 0.6501,
|
186 |
+
"step": 700
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.03,
|
190 |
+
"learning_rate": 9.655384615384616e-07,
|
191 |
+
"loss": 0.619,
|
192 |
+
"step": 725
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.04,
|
196 |
+
"learning_rate": 9.616923076923077e-07,
|
197 |
+
"loss": 0.6014,
|
198 |
+
"step": 750
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.04,
|
202 |
+
"learning_rate": 9.578461538461537e-07,
|
203 |
+
"loss": 0.581,
|
204 |
+
"step": 775
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.04,
|
208 |
+
"learning_rate": 9.539999999999999e-07,
|
209 |
+
"loss": 0.561,
|
210 |
+
"step": 800
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.05,
|
214 |
+
"learning_rate": 9.501538461538461e-07,
|
215 |
+
"loss": 0.5794,
|
216 |
+
"step": 825
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.05,
|
220 |
+
"learning_rate": 9.463076923076922e-07,
|
221 |
+
"loss": 0.6063,
|
222 |
+
"step": 850
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 1.05,
|
226 |
+
"learning_rate": 9.424615384615384e-07,
|
227 |
+
"loss": 0.5932,
|
228 |
+
"step": 875
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.06,
|
232 |
+
"learning_rate": 9.386153846153846e-07,
|
233 |
+
"loss": 0.5755,
|
234 |
+
"step": 900
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.06,
|
238 |
+
"learning_rate": 9.347692307692308e-07,
|
239 |
+
"loss": 0.5826,
|
240 |
+
"step": 925
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.06,
|
244 |
+
"learning_rate": 9.309230769230769e-07,
|
245 |
+
"loss": 0.6204,
|
246 |
+
"step": 950
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 1.07,
|
250 |
+
"learning_rate": 9.270769230769231e-07,
|
251 |
+
"loss": 0.5591,
|
252 |
+
"step": 975
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.07,
|
256 |
+
"learning_rate": 9.232307692307692e-07,
|
257 |
+
"loss": 0.6131,
|
258 |
+
"step": 1000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.07,
|
262 |
+
"eval_loss": 0.6595470905303955,
|
263 |
+
"eval_runtime": 1267.4973,
|
264 |
+
"eval_samples_per_second": 12.735,
|
265 |
+
"eval_steps_per_second": 0.398,
|
266 |
+
"eval_wer": 31.429821553161545,
|
267 |
+
"step": 1000
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 2.0,
|
271 |
+
"learning_rate": 9.193846153846154e-07,
|
272 |
+
"loss": 0.5829,
|
273 |
+
"step": 1025
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 2.01,
|
277 |
+
"learning_rate": 9.155384615384615e-07,
|
278 |
+
"loss": 0.5177,
|
279 |
+
"step": 1050
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.01,
|
283 |
+
"learning_rate": 9.116923076923077e-07,
|
284 |
+
"loss": 0.5542,
|
285 |
+
"step": 1075
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 2.01,
|
289 |
+
"learning_rate": 9.078461538461538e-07,
|
290 |
+
"loss": 0.591,
|
291 |
+
"step": 1100
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 2.02,
|
295 |
+
"learning_rate": 9.039999999999999e-07,
|
296 |
+
"loss": 0.5383,
|
297 |
+
"step": 1125
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 2.02,
|
301 |
+
"learning_rate": 9.001538461538461e-07,
|
302 |
+
"loss": 0.5493,
|
303 |
+
"step": 1150
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.02,
|
307 |
+
"learning_rate": 8.963076923076923e-07,
|
308 |
+
"loss": 0.5522,
|
309 |
+
"step": 1175
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 2.03,
|
313 |
+
"learning_rate": 8.924615384615384e-07,
|
314 |
+
"loss": 0.5528,
|
315 |
+
"step": 1200
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 2.03,
|
319 |
+
"learning_rate": 8.886153846153845e-07,
|
320 |
+
"loss": 0.5702,
|
321 |
+
"step": 1225
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 2.03,
|
325 |
+
"learning_rate": 8.847692307692307e-07,
|
326 |
+
"loss": 0.5457,
|
327 |
+
"step": 1250
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 2.04,
|
331 |
+
"learning_rate": 8.809230769230769e-07,
|
332 |
+
"loss": 0.5805,
|
333 |
+
"step": 1275
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 2.04,
|
337 |
+
"learning_rate": 8.770769230769231e-07,
|
338 |
+
"loss": 0.5246,
|
339 |
+
"step": 1300
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.05,
|
343 |
+
"learning_rate": 8.732307692307692e-07,
|
344 |
+
"loss": 0.5805,
|
345 |
+
"step": 1325
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 2.05,
|
349 |
+
"learning_rate": 8.693846153846154e-07,
|
350 |
+
"loss": 0.541,
|
351 |
+
"step": 1350
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 2.05,
|
355 |
+
"learning_rate": 8.655384615384616e-07,
|
356 |
+
"loss": 0.5333,
|
357 |
+
"step": 1375
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 2.06,
|
361 |
+
"learning_rate": 8.616923076923076e-07,
|
362 |
+
"loss": 0.5509,
|
363 |
+
"step": 1400
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 2.06,
|
367 |
+
"learning_rate": 8.578461538461538e-07,
|
368 |
+
"loss": 0.5224,
|
369 |
+
"step": 1425
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.06,
|
373 |
+
"learning_rate": 8.539999999999999e-07,
|
374 |
+
"loss": 0.5498,
|
375 |
+
"step": 1450
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.07,
|
379 |
+
"learning_rate": 8.501538461538461e-07,
|
380 |
+
"loss": 0.501,
|
381 |
+
"step": 1475
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.07,
|
385 |
+
"learning_rate": 8.463076923076922e-07,
|
386 |
+
"loss": 0.5311,
|
387 |
+
"step": 1500
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 2.07,
|
391 |
+
"eval_loss": 0.6301009654998779,
|
392 |
+
"eval_runtime": 1277.0428,
|
393 |
+
"eval_samples_per_second": 12.639,
|
394 |
+
"eval_steps_per_second": 0.395,
|
395 |
+
"eval_wer": 30.623322256778966,
|
396 |
+
"step": 1500
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 3.0,
|
400 |
+
"learning_rate": 8.424615384615384e-07,
|
401 |
+
"loss": 0.62,
|
402 |
+
"step": 1525
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 3.01,
|
406 |
+
"learning_rate": 8.386153846153846e-07,
|
407 |
+
"loss": 0.5652,
|
408 |
+
"step": 1550
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 3.01,
|
412 |
+
"learning_rate": 8.347692307692308e-07,
|
413 |
+
"loss": 0.5905,
|
414 |
+
"step": 1575
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 3.01,
|
418 |
+
"learning_rate": 8.309230769230768e-07,
|
419 |
+
"loss": 0.5598,
|
420 |
+
"step": 1600
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 3.02,
|
424 |
+
"learning_rate": 8.27076923076923e-07,
|
425 |
+
"loss": 0.5169,
|
426 |
+
"step": 1625
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 3.02,
|
430 |
+
"learning_rate": 8.232307692307692e-07,
|
431 |
+
"loss": 0.5144,
|
432 |
+
"step": 1650
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 3.02,
|
436 |
+
"learning_rate": 8.193846153846154e-07,
|
437 |
+
"loss": 0.5033,
|
438 |
+
"step": 1675
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 3.03,
|
442 |
+
"learning_rate": 8.155384615384615e-07,
|
443 |
+
"loss": 0.5355,
|
444 |
+
"step": 1700
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 3.03,
|
448 |
+
"learning_rate": 8.116923076923077e-07,
|
449 |
+
"loss": 0.5146,
|
450 |
+
"step": 1725
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 3.03,
|
454 |
+
"learning_rate": 8.078461538461539e-07,
|
455 |
+
"loss": 0.5071,
|
456 |
+
"step": 1750
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 3.04,
|
460 |
+
"learning_rate": 8.04e-07,
|
461 |
+
"loss": 0.5108,
|
462 |
+
"step": 1775
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 3.04,
|
466 |
+
"learning_rate": 8.001538461538461e-07,
|
467 |
+
"loss": 0.4895,
|
468 |
+
"step": 1800
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 3.04,
|
472 |
+
"learning_rate": 7.963076923076922e-07,
|
473 |
+
"loss": 0.4777,
|
474 |
+
"step": 1825
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 3.05,
|
478 |
+
"learning_rate": 7.924615384615384e-07,
|
479 |
+
"loss": 0.5107,
|
480 |
+
"step": 1850
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 3.05,
|
484 |
+
"learning_rate": 7.886153846153845e-07,
|
485 |
+
"loss": 0.5348,
|
486 |
+
"step": 1875
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 3.06,
|
490 |
+
"learning_rate": 7.847692307692307e-07,
|
491 |
+
"loss": 0.4912,
|
492 |
+
"step": 1900
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 3.06,
|
496 |
+
"learning_rate": 7.809230769230769e-07,
|
497 |
+
"loss": 0.5226,
|
498 |
+
"step": 1925
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 3.06,
|
502 |
+
"learning_rate": 7.770769230769231e-07,
|
503 |
+
"loss": 0.5073,
|
504 |
+
"step": 1950
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 3.07,
|
508 |
+
"learning_rate": 7.732307692307692e-07,
|
509 |
+
"loss": 0.4799,
|
510 |
+
"step": 1975
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 3.07,
|
514 |
+
"learning_rate": 7.693846153846153e-07,
|
515 |
+
"loss": 0.551,
|
516 |
+
"step": 2000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 3.07,
|
520 |
+
"eval_loss": 0.6141447424888611,
|
521 |
+
"eval_runtime": 1258.2269,
|
522 |
+
"eval_samples_per_second": 12.828,
|
523 |
+
"eval_steps_per_second": 0.401,
|
524 |
+
"eval_wer": 29.781937726901837,
|
525 |
+
"step": 2000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 4.0,
|
529 |
+
"learning_rate": 7.655384615384615e-07,
|
530 |
+
"loss": 0.5604,
|
531 |
+
"step": 2025
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 4.0,
|
535 |
+
"learning_rate": 7.616923076923077e-07,
|
536 |
+
"loss": 0.4793,
|
537 |
+
"step": 2050
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 4.01,
|
541 |
+
"learning_rate": 7.578461538461538e-07,
|
542 |
+
"loss": 0.4757,
|
543 |
+
"step": 2075
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 4.01,
|
547 |
+
"learning_rate": 7.54e-07,
|
548 |
+
"loss": 0.501,
|
549 |
+
"step": 2100
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 4.02,
|
553 |
+
"learning_rate": 7.501538461538462e-07,
|
554 |
+
"loss": 0.5085,
|
555 |
+
"step": 2125
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 4.02,
|
559 |
+
"learning_rate": 7.463076923076924e-07,
|
560 |
+
"loss": 0.5199,
|
561 |
+
"step": 2150
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 4.02,
|
565 |
+
"learning_rate": 7.424615384615385e-07,
|
566 |
+
"loss": 0.5725,
|
567 |
+
"step": 2175
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 4.03,
|
571 |
+
"learning_rate": 7.386153846153845e-07,
|
572 |
+
"loss": 0.5193,
|
573 |
+
"step": 2200
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 4.03,
|
577 |
+
"learning_rate": 7.347692307692307e-07,
|
578 |
+
"loss": 0.5119,
|
579 |
+
"step": 2225
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 4.03,
|
583 |
+
"learning_rate": 7.309230769230768e-07,
|
584 |
+
"loss": 0.5094,
|
585 |
+
"step": 2250
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 4.04,
|
589 |
+
"learning_rate": 7.27076923076923e-07,
|
590 |
+
"loss": 0.5565,
|
591 |
+
"step": 2275
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 4.04,
|
595 |
+
"learning_rate": 7.232307692307692e-07,
|
596 |
+
"loss": 0.5109,
|
597 |
+
"step": 2300
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 4.04,
|
601 |
+
"learning_rate": 7.193846153846154e-07,
|
602 |
+
"loss": 0.4878,
|
603 |
+
"step": 2325
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 4.05,
|
607 |
+
"learning_rate": 7.155384615384615e-07,
|
608 |
+
"loss": 0.4965,
|
609 |
+
"step": 2350
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 4.05,
|
613 |
+
"learning_rate": 7.116923076923077e-07,
|
614 |
+
"loss": 0.482,
|
615 |
+
"step": 2375
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 4.05,
|
619 |
+
"learning_rate": 7.078461538461538e-07,
|
620 |
+
"loss": 0.4418,
|
621 |
+
"step": 2400
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 4.06,
|
625 |
+
"learning_rate": 7.04e-07,
|
626 |
+
"loss": 0.4697,
|
627 |
+
"step": 2425
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 4.06,
|
631 |
+
"learning_rate": 7.001538461538461e-07,
|
632 |
+
"loss": 0.4584,
|
633 |
+
"step": 2450
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 4.07,
|
637 |
+
"learning_rate": 6.963076923076923e-07,
|
638 |
+
"loss": 0.4697,
|
639 |
+
"step": 2475
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 4.07,
|
643 |
+
"learning_rate": 6.924615384615385e-07,
|
644 |
+
"loss": 0.4588,
|
645 |
+
"step": 2500
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 4.07,
|
649 |
+
"eval_loss": 0.6003413200378418,
|
650 |
+
"eval_runtime": 1263.8901,
|
651 |
+
"eval_samples_per_second": 12.771,
|
652 |
+
"eval_steps_per_second": 0.4,
|
653 |
+
"eval_wer": 29.252746473043768,
|
654 |
+
"step": 2500
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 5.0,
|
658 |
+
"learning_rate": 6.886153846153846e-07,
|
659 |
+
"loss": 0.5057,
|
660 |
+
"step": 2525
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 5.0,
|
664 |
+
"learning_rate": 6.847692307692307e-07,
|
665 |
+
"loss": 0.4379,
|
666 |
+
"step": 2550
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 5.01,
|
670 |
+
"learning_rate": 6.809230769230769e-07,
|
671 |
+
"loss": 0.4401,
|
672 |
+
"step": 2575
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 5.01,
|
676 |
+
"learning_rate": 6.770769230769231e-07,
|
677 |
+
"loss": 0.4427,
|
678 |
+
"step": 2600
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 5.01,
|
682 |
+
"learning_rate": 6.732307692307691e-07,
|
683 |
+
"loss": 0.4519,
|
684 |
+
"step": 2625
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 5.02,
|
688 |
+
"learning_rate": 6.693846153846153e-07,
|
689 |
+
"loss": 0.4947,
|
690 |
+
"step": 2650
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 5.02,
|
694 |
+
"learning_rate": 6.655384615384615e-07,
|
695 |
+
"loss": 0.4607,
|
696 |
+
"step": 2675
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 5.03,
|
700 |
+
"learning_rate": 6.616923076923077e-07,
|
701 |
+
"loss": 0.4355,
|
702 |
+
"step": 2700
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 5.03,
|
706 |
+
"learning_rate": 6.578461538461538e-07,
|
707 |
+
"loss": 0.4545,
|
708 |
+
"step": 2725
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 5.03,
|
712 |
+
"learning_rate": 6.54e-07,
|
713 |
+
"loss": 0.4304,
|
714 |
+
"step": 2750
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 5.04,
|
718 |
+
"learning_rate": 6.501538461538462e-07,
|
719 |
+
"loss": 0.5341,
|
720 |
+
"step": 2775
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 5.04,
|
724 |
+
"learning_rate": 6.463076923076924e-07,
|
725 |
+
"loss": 0.5021,
|
726 |
+
"step": 2800
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 5.04,
|
730 |
+
"learning_rate": 6.424615384615384e-07,
|
731 |
+
"loss": 0.4787,
|
732 |
+
"step": 2825
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 5.05,
|
736 |
+
"learning_rate": 6.386153846153846e-07,
|
737 |
+
"loss": 0.4878,
|
738 |
+
"step": 2850
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 5.05,
|
742 |
+
"learning_rate": 6.347692307692308e-07,
|
743 |
+
"loss": 0.474,
|
744 |
+
"step": 2875
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 5.05,
|
748 |
+
"learning_rate": 6.309230769230768e-07,
|
749 |
+
"loss": 0.4823,
|
750 |
+
"step": 2900
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 5.06,
|
754 |
+
"learning_rate": 6.27076923076923e-07,
|
755 |
+
"loss": 0.4788,
|
756 |
+
"step": 2925
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 5.06,
|
760 |
+
"learning_rate": 6.232307692307692e-07,
|
761 |
+
"loss": 0.457,
|
762 |
+
"step": 2950
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 5.06,
|
766 |
+
"learning_rate": 6.193846153846154e-07,
|
767 |
+
"loss": 0.4343,
|
768 |
+
"step": 2975
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 5.07,
|
772 |
+
"learning_rate": 6.155384615384615e-07,
|
773 |
+
"loss": 0.4163,
|
774 |
+
"step": 3000
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 5.07,
|
778 |
+
"eval_loss": 0.5935855507850647,
|
779 |
+
"eval_runtime": 1271.4925,
|
780 |
+
"eval_samples_per_second": 12.695,
|
781 |
+
"eval_steps_per_second": 0.397,
|
782 |
+
"eval_wer": 29.02924446862103,
|
783 |
+
"step": 3000
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 5.07,
|
787 |
+
"learning_rate": 6.118461538461538e-07,
|
788 |
+
"loss": 0.4411,
|
789 |
+
"step": 3025
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 6.0,
|
793 |
+
"learning_rate": 6.079999999999999e-07,
|
794 |
+
"loss": 0.5187,
|
795 |
+
"step": 3050
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 6.01,
|
799 |
+
"learning_rate": 6.041538461538461e-07,
|
800 |
+
"loss": 0.521,
|
801 |
+
"step": 3075
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 6.01,
|
805 |
+
"learning_rate": 6.003076923076923e-07,
|
806 |
+
"loss": 0.5194,
|
807 |
+
"step": 3100
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 6.01,
|
811 |
+
"learning_rate": 5.964615384615385e-07,
|
812 |
+
"loss": 0.5188,
|
813 |
+
"step": 3125
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 6.02,
|
817 |
+
"learning_rate": 5.926153846153846e-07,
|
818 |
+
"loss": 0.5057,
|
819 |
+
"step": 3150
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 6.02,
|
823 |
+
"learning_rate": 5.887692307692308e-07,
|
824 |
+
"loss": 0.4798,
|
825 |
+
"step": 3175
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 6.02,
|
829 |
+
"learning_rate": 5.849230769230769e-07,
|
830 |
+
"loss": 0.4956,
|
831 |
+
"step": 3200
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 6.03,
|
835 |
+
"learning_rate": 5.810769230769231e-07,
|
836 |
+
"loss": 0.4896,
|
837 |
+
"step": 3225
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 6.03,
|
841 |
+
"learning_rate": 5.772307692307692e-07,
|
842 |
+
"loss": 0.5033,
|
843 |
+
"step": 3250
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 6.04,
|
847 |
+
"learning_rate": 5.733846153846154e-07,
|
848 |
+
"loss": 0.5011,
|
849 |
+
"step": 3275
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 6.04,
|
853 |
+
"learning_rate": 5.695384615384615e-07,
|
854 |
+
"loss": 0.4566,
|
855 |
+
"step": 3300
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 6.04,
|
859 |
+
"learning_rate": 5.656923076923076e-07,
|
860 |
+
"loss": 0.4661,
|
861 |
+
"step": 3325
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 6.05,
|
865 |
+
"learning_rate": 5.618461538461538e-07,
|
866 |
+
"loss": 0.4607,
|
867 |
+
"step": 3350
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 6.05,
|
871 |
+
"learning_rate": 5.58e-07,
|
872 |
+
"loss": 0.4659,
|
873 |
+
"step": 3375
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 6.05,
|
877 |
+
"learning_rate": 5.541538461538461e-07,
|
878 |
+
"loss": 0.4577,
|
879 |
+
"step": 3400
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 6.06,
|
883 |
+
"learning_rate": 5.503076923076922e-07,
|
884 |
+
"loss": 0.4721,
|
885 |
+
"step": 3425
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 6.06,
|
889 |
+
"learning_rate": 5.464615384615384e-07,
|
890 |
+
"loss": 0.469,
|
891 |
+
"step": 3450
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 6.06,
|
895 |
+
"learning_rate": 5.426153846153846e-07,
|
896 |
+
"loss": 0.4759,
|
897 |
+
"step": 3475
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 6.07,
|
901 |
+
"learning_rate": 5.387692307692308e-07,
|
902 |
+
"loss": 0.4553,
|
903 |
+
"step": 3500
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 6.07,
|
907 |
+
"eval_loss": 0.5837779641151428,
|
908 |
+
"eval_runtime": 1248.1855,
|
909 |
+
"eval_samples_per_second": 12.932,
|
910 |
+
"eval_steps_per_second": 0.405,
|
911 |
+
"eval_wer": 28.479949859867794,
|
912 |
+
"step": 3500
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 6.07,
|
916 |
+
"learning_rate": 5.349230769230769e-07,
|
917 |
+
"loss": 0.5038,
|
918 |
+
"step": 3525
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 7.0,
|
922 |
+
"learning_rate": 5.310769230769231e-07,
|
923 |
+
"loss": 0.5066,
|
924 |
+
"step": 3550
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 7.01,
|
928 |
+
"learning_rate": 5.272307692307693e-07,
|
929 |
+
"loss": 0.4496,
|
930 |
+
"step": 3575
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 7.01,
|
934 |
+
"learning_rate": 5.233846153846154e-07,
|
935 |
+
"loss": 0.4628,
|
936 |
+
"step": 3600
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 7.01,
|
940 |
+
"learning_rate": 5.195384615384615e-07,
|
941 |
+
"loss": 0.4837,
|
942 |
+
"step": 3625
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 7.02,
|
946 |
+
"learning_rate": 5.156923076923077e-07,
|
947 |
+
"loss": 0.4728,
|
948 |
+
"step": 3650
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 7.02,
|
952 |
+
"learning_rate": 5.118461538461538e-07,
|
953 |
+
"loss": 0.4741,
|
954 |
+
"step": 3675
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 7.02,
|
958 |
+
"learning_rate": 5.079999999999999e-07,
|
959 |
+
"loss": 0.4565,
|
960 |
+
"step": 3700
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 7.03,
|
964 |
+
"learning_rate": 5.041538461538461e-07,
|
965 |
+
"loss": 0.4867,
|
966 |
+
"step": 3725
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 7.03,
|
970 |
+
"learning_rate": 5.003076923076923e-07,
|
971 |
+
"loss": 0.4573,
|
972 |
+
"step": 3750
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 7.03,
|
976 |
+
"learning_rate": 4.964615384615385e-07,
|
977 |
+
"loss": 0.4872,
|
978 |
+
"step": 3775
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 7.04,
|
982 |
+
"learning_rate": 4.926153846153846e-07,
|
983 |
+
"loss": 0.4499,
|
984 |
+
"step": 3800
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 7.04,
|
988 |
+
"learning_rate": 4.887692307692308e-07,
|
989 |
+
"loss": 0.4456,
|
990 |
+
"step": 3825
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 7.05,
|
994 |
+
"learning_rate": 4.849230769230769e-07,
|
995 |
+
"loss": 0.437,
|
996 |
+
"step": 3850
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 7.05,
|
1000 |
+
"learning_rate": 4.810769230769231e-07,
|
1001 |
+
"loss": 0.4494,
|
1002 |
+
"step": 3875
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 7.05,
|
1006 |
+
"learning_rate": 4.772307692307692e-07,
|
1007 |
+
"loss": 0.4497,
|
1008 |
+
"step": 3900
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 7.06,
|
1012 |
+
"learning_rate": 4.733846153846154e-07,
|
1013 |
+
"loss": 0.4457,
|
1014 |
+
"step": 3925
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 7.06,
|
1018 |
+
"learning_rate": 4.695384615384615e-07,
|
1019 |
+
"loss": 0.4571,
|
1020 |
+
"step": 3950
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 7.06,
|
1024 |
+
"learning_rate": 4.6569230769230765e-07,
|
1025 |
+
"loss": 0.4555,
|
1026 |
+
"step": 3975
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 7.07,
|
1030 |
+
"learning_rate": 4.618461538461538e-07,
|
1031 |
+
"loss": 0.4395,
|
1032 |
+
"step": 4000
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 7.07,
|
1036 |
+
"eval_loss": 0.5783179998397827,
|
1037 |
+
"eval_runtime": 1220.7231,
|
1038 |
+
"eval_samples_per_second": 13.222,
|
1039 |
+
"eval_steps_per_second": 0.414,
|
1040 |
+
"eval_wer": 28.24876127857337,
|
1041 |
+
"step": 4000
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 7.07,
|
1045 |
+
"learning_rate": 4.58e-07,
|
1046 |
+
"loss": 0.483,
|
1047 |
+
"step": 4025
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 8.0,
|
1051 |
+
"learning_rate": 4.541538461538461e-07,
|
1052 |
+
"loss": 0.5286,
|
1053 |
+
"step": 4050
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 8.01,
|
1057 |
+
"learning_rate": 4.503076923076923e-07,
|
1058 |
+
"loss": 0.513,
|
1059 |
+
"step": 4075
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 8.01,
|
1063 |
+
"learning_rate": 4.4646153846153847e-07,
|
1064 |
+
"loss": 0.492,
|
1065 |
+
"step": 4100
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 8.01,
|
1069 |
+
"learning_rate": 4.426153846153846e-07,
|
1070 |
+
"loss": 0.4849,
|
1071 |
+
"step": 4125
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 8.02,
|
1075 |
+
"learning_rate": 4.387692307692307e-07,
|
1076 |
+
"loss": 0.4528,
|
1077 |
+
"step": 4150
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 8.02,
|
1081 |
+
"learning_rate": 4.349230769230769e-07,
|
1082 |
+
"loss": 0.4383,
|
1083 |
+
"step": 4175
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 8.02,
|
1087 |
+
"learning_rate": 4.3107692307692306e-07,
|
1088 |
+
"loss": 0.4397,
|
1089 |
+
"step": 4200
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 8.03,
|
1093 |
+
"learning_rate": 4.2723076923076923e-07,
|
1094 |
+
"loss": 0.4659,
|
1095 |
+
"step": 4225
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 8.03,
|
1099 |
+
"learning_rate": 4.2338461538461536e-07,
|
1100 |
+
"loss": 0.4536,
|
1101 |
+
"step": 4250
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 8.03,
|
1105 |
+
"learning_rate": 4.1953846153846153e-07,
|
1106 |
+
"loss": 0.4476,
|
1107 |
+
"step": 4275
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 8.04,
|
1111 |
+
"learning_rate": 4.1569230769230765e-07,
|
1112 |
+
"loss": 0.4319,
|
1113 |
+
"step": 4300
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 8.04,
|
1117 |
+
"learning_rate": 4.118461538461538e-07,
|
1118 |
+
"loss": 0.4332,
|
1119 |
+
"step": 4325
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 8.04,
|
1123 |
+
"learning_rate": 4.0799999999999995e-07,
|
1124 |
+
"loss": 0.4134,
|
1125 |
+
"step": 4350
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 8.05,
|
1129 |
+
"learning_rate": 4.041538461538461e-07,
|
1130 |
+
"loss": 0.4494,
|
1131 |
+
"step": 4375
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 8.05,
|
1135 |
+
"learning_rate": 4.003076923076923e-07,
|
1136 |
+
"loss": 0.4804,
|
1137 |
+
"step": 4400
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 8.06,
|
1141 |
+
"learning_rate": 3.9646153846153847e-07,
|
1142 |
+
"loss": 0.4146,
|
1143 |
+
"step": 4425
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 8.06,
|
1147 |
+
"learning_rate": 3.926153846153846e-07,
|
1148 |
+
"loss": 0.4724,
|
1149 |
+
"step": 4450
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 8.06,
|
1153 |
+
"learning_rate": 3.887692307692307e-07,
|
1154 |
+
"loss": 0.4462,
|
1155 |
+
"step": 4475
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 8.07,
|
1159 |
+
"learning_rate": 3.849230769230769e-07,
|
1160 |
+
"loss": 0.4233,
|
1161 |
+
"step": 4500
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 8.07,
|
1165 |
+
"eval_loss": 0.5746914148330688,
|
1166 |
+
"eval_runtime": 1237.3512,
|
1167 |
+
"eval_samples_per_second": 13.045,
|
1168 |
+
"eval_steps_per_second": 0.408,
|
1169 |
+
"eval_wer": 28.07788276196445,
|
1170 |
+
"step": 4500
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 8.07,
|
1174 |
+
"learning_rate": 3.8107692307692306e-07,
|
1175 |
+
"loss": 0.4978,
|
1176 |
+
"step": 4525
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 9.0,
|
1180 |
+
"learning_rate": 3.7723076923076924e-07,
|
1181 |
+
"loss": 0.4922,
|
1182 |
+
"step": 4550
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 9.0,
|
1186 |
+
"learning_rate": 3.7338461538461536e-07,
|
1187 |
+
"loss": 0.4241,
|
1188 |
+
"step": 4575
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 9.01,
|
1192 |
+
"learning_rate": 3.6953846153846153e-07,
|
1193 |
+
"loss": 0.4194,
|
1194 |
+
"step": 4600
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 9.01,
|
1198 |
+
"learning_rate": 3.656923076923077e-07,
|
1199 |
+
"loss": 0.4515,
|
1200 |
+
"step": 4625
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 9.02,
|
1204 |
+
"learning_rate": 3.618461538461539e-07,
|
1205 |
+
"loss": 0.4537,
|
1206 |
+
"step": 4650
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 9.02,
|
1210 |
+
"learning_rate": 3.5799999999999995e-07,
|
1211 |
+
"loss": 0.4676,
|
1212 |
+
"step": 4675
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 9.02,
|
1216 |
+
"learning_rate": 3.541538461538461e-07,
|
1217 |
+
"loss": 0.5138,
|
1218 |
+
"step": 4700
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 9.03,
|
1222 |
+
"learning_rate": 3.503076923076923e-07,
|
1223 |
+
"loss": 0.4551,
|
1224 |
+
"step": 4725
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 9.03,
|
1228 |
+
"learning_rate": 3.4646153846153847e-07,
|
1229 |
+
"loss": 0.4621,
|
1230 |
+
"step": 4750
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 9.03,
|
1234 |
+
"learning_rate": 3.426153846153846e-07,
|
1235 |
+
"loss": 0.4554,
|
1236 |
+
"step": 4775
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 9.04,
|
1240 |
+
"learning_rate": 3.3876923076923077e-07,
|
1241 |
+
"loss": 0.5044,
|
1242 |
+
"step": 4800
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 9.04,
|
1246 |
+
"learning_rate": 3.3492307692307694e-07,
|
1247 |
+
"loss": 0.4592,
|
1248 |
+
"step": 4825
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 9.04,
|
1252 |
+
"learning_rate": 3.3107692307692306e-07,
|
1253 |
+
"loss": 0.4401,
|
1254 |
+
"step": 4850
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 9.05,
|
1258 |
+
"learning_rate": 3.272307692307692e-07,
|
1259 |
+
"loss": 0.4405,
|
1260 |
+
"step": 4875
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 9.05,
|
1264 |
+
"learning_rate": 3.2338461538461536e-07,
|
1265 |
+
"loss": 0.4307,
|
1266 |
+
"step": 4900
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 9.05,
|
1270 |
+
"learning_rate": 3.1953846153846153e-07,
|
1271 |
+
"loss": 0.3942,
|
1272 |
+
"step": 4925
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 9.06,
|
1276 |
+
"learning_rate": 3.156923076923077e-07,
|
1277 |
+
"loss": 0.4354,
|
1278 |
+
"step": 4950
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 9.06,
|
1282 |
+
"learning_rate": 3.1184615384615383e-07,
|
1283 |
+
"loss": 0.4048,
|
1284 |
+
"step": 4975
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 9.07,
|
1288 |
+
"learning_rate": 3.08e-07,
|
1289 |
+
"loss": 0.4204,
|
1290 |
+
"step": 5000
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 9.07,
|
1294 |
+
"eval_loss": 0.5712096691131592,
|
1295 |
+
"eval_runtime": 1254.0999,
|
1296 |
+
"eval_samples_per_second": 12.871,
|
1297 |
+
"eval_steps_per_second": 0.403,
|
1298 |
+
"eval_wer": 28.11217672031503,
|
1299 |
+
"step": 5000
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 9.07,
|
1303 |
+
"learning_rate": 3.0415384615384613e-07,
|
1304 |
+
"loss": 0.4269,
|
1305 |
+
"step": 5025
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 10.0,
|
1309 |
+
"learning_rate": 3.0046153846153846e-07,
|
1310 |
+
"loss": 0.4425,
|
1311 |
+
"step": 5050
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 10.0,
|
1315 |
+
"learning_rate": 2.966153846153846e-07,
|
1316 |
+
"loss": 0.3973,
|
1317 |
+
"step": 5075
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 10.01,
|
1321 |
+
"learning_rate": 2.9276923076923075e-07,
|
1322 |
+
"loss": 0.3994,
|
1323 |
+
"step": 5100
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 10.01,
|
1327 |
+
"learning_rate": 2.8892307692307693e-07,
|
1328 |
+
"loss": 0.4144,
|
1329 |
+
"step": 5125
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 10.02,
|
1333 |
+
"learning_rate": 2.8507692307692305e-07,
|
1334 |
+
"loss": 0.4165,
|
1335 |
+
"step": 5150
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 10.02,
|
1339 |
+
"learning_rate": 2.812307692307692e-07,
|
1340 |
+
"loss": 0.4084,
|
1341 |
+
"step": 5175
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 10.02,
|
1345 |
+
"learning_rate": 2.773846153846154e-07,
|
1346 |
+
"loss": 0.3953,
|
1347 |
+
"step": 5200
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 10.03,
|
1351 |
+
"learning_rate": 2.7353846153846157e-07,
|
1352 |
+
"loss": 0.3909,
|
1353 |
+
"step": 5225
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 10.03,
|
1357 |
+
"learning_rate": 2.6969230769230764e-07,
|
1358 |
+
"loss": 0.3984,
|
1359 |
+
"step": 5250
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 10.03,
|
1363 |
+
"learning_rate": 2.658461538461538e-07,
|
1364 |
+
"loss": 0.3863,
|
1365 |
+
"step": 5275
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 10.04,
|
1369 |
+
"learning_rate": 2.62e-07,
|
1370 |
+
"loss": 0.4402,
|
1371 |
+
"step": 5300
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 10.04,
|
1375 |
+
"learning_rate": 2.5815384615384616e-07,
|
1376 |
+
"loss": 0.4355,
|
1377 |
+
"step": 5325
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 10.04,
|
1381 |
+
"learning_rate": 2.543076923076923e-07,
|
1382 |
+
"loss": 0.4346,
|
1383 |
+
"step": 5350
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 10.05,
|
1387 |
+
"learning_rate": 2.5046153846153846e-07,
|
1388 |
+
"loss": 0.44,
|
1389 |
+
"step": 5375
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 10.05,
|
1393 |
+
"learning_rate": 2.4661538461538463e-07,
|
1394 |
+
"loss": 0.4339,
|
1395 |
+
"step": 5400
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 10.05,
|
1399 |
+
"learning_rate": 2.4276923076923076e-07,
|
1400 |
+
"loss": 0.4363,
|
1401 |
+
"step": 5425
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 10.06,
|
1405 |
+
"learning_rate": 2.3892307692307693e-07,
|
1406 |
+
"loss": 0.4694,
|
1407 |
+
"step": 5450
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 10.06,
|
1411 |
+
"learning_rate": 2.3507692307692305e-07,
|
1412 |
+
"loss": 0.4834,
|
1413 |
+
"step": 5475
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 10.06,
|
1417 |
+
"learning_rate": 2.3123076923076923e-07,
|
1418 |
+
"loss": 0.4378,
|
1419 |
+
"step": 5500
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 10.06,
|
1423 |
+
"eval_loss": 0.5695297718048096,
|
1424 |
+
"eval_runtime": 1232.4207,
|
1425 |
+
"eval_samples_per_second": 13.097,
|
1426 |
+
"eval_steps_per_second": 0.41,
|
1427 |
+
"eval_wer": 28.057779407069283,
|
1428 |
+
"step": 5500
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 10.07,
|
1432 |
+
"learning_rate": 2.2738461538461537e-07,
|
1433 |
+
"loss": 0.4635,
|
1434 |
+
"step": 5525
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 11.0,
|
1438 |
+
"learning_rate": 2.2353846153846155e-07,
|
1439 |
+
"loss": 0.4252,
|
1440 |
+
"step": 5550
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 11.0,
|
1444 |
+
"learning_rate": 2.1969230769230767e-07,
|
1445 |
+
"loss": 0.4115,
|
1446 |
+
"step": 5575
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 11.01,
|
1450 |
+
"learning_rate": 2.1584615384615384e-07,
|
1451 |
+
"loss": 0.4215,
|
1452 |
+
"step": 5600
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 11.01,
|
1456 |
+
"learning_rate": 2.12e-07,
|
1457 |
+
"loss": 0.4793,
|
1458 |
+
"step": 5625
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 11.01,
|
1462 |
+
"learning_rate": 2.0815384615384614e-07,
|
1463 |
+
"loss": 0.4638,
|
1464 |
+
"step": 5650
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 11.02,
|
1468 |
+
"learning_rate": 2.043076923076923e-07,
|
1469 |
+
"loss": 0.4225,
|
1470 |
+
"step": 5675
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 11.02,
|
1474 |
+
"learning_rate": 2.0046153846153846e-07,
|
1475 |
+
"loss": 0.436,
|
1476 |
+
"step": 5700
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 11.03,
|
1480 |
+
"learning_rate": 1.966153846153846e-07,
|
1481 |
+
"loss": 0.4274,
|
1482 |
+
"step": 5725
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 11.03,
|
1486 |
+
"learning_rate": 1.9276923076923076e-07,
|
1487 |
+
"loss": 0.4437,
|
1488 |
+
"step": 5750
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 11.03,
|
1492 |
+
"learning_rate": 1.889230769230769e-07,
|
1493 |
+
"loss": 0.4447,
|
1494 |
+
"step": 5775
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 11.04,
|
1498 |
+
"learning_rate": 1.8507692307692308e-07,
|
1499 |
+
"loss": 0.4578,
|
1500 |
+
"step": 5800
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 11.04,
|
1504 |
+
"learning_rate": 1.812307692307692e-07,
|
1505 |
+
"loss": 0.6333,
|
1506 |
+
"step": 5825
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 11.04,
|
1510 |
+
"learning_rate": 1.7738461538461538e-07,
|
1511 |
+
"loss": 0.4166,
|
1512 |
+
"step": 5850
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 11.05,
|
1516 |
+
"learning_rate": 1.7353846153846152e-07,
|
1517 |
+
"loss": 0.4178,
|
1518 |
+
"step": 5875
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 11.05,
|
1522 |
+
"learning_rate": 1.696923076923077e-07,
|
1523 |
+
"loss": 0.3826,
|
1524 |
+
"step": 5900
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 11.05,
|
1528 |
+
"learning_rate": 1.6584615384615382e-07,
|
1529 |
+
"loss": 0.4209,
|
1530 |
+
"step": 5925
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 11.06,
|
1534 |
+
"learning_rate": 1.62e-07,
|
1535 |
+
"loss": 0.4674,
|
1536 |
+
"step": 5950
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 11.06,
|
1540 |
+
"learning_rate": 1.5815384615384614e-07,
|
1541 |
+
"loss": 0.4828,
|
1542 |
+
"step": 5975
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 11.06,
|
1546 |
+
"learning_rate": 1.5430769230769232e-07,
|
1547 |
+
"loss": 0.4337,
|
1548 |
+
"step": 6000
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 11.06,
|
1552 |
+
"eval_loss": 0.5673043727874756,
|
1553 |
+
"eval_runtime": 1224.2663,
|
1554 |
+
"eval_samples_per_second": 13.184,
|
1555 |
+
"eval_steps_per_second": 0.412,
|
1556 |
+
"eval_wer": 27.781653914832727,
|
1557 |
+
"step": 6000
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 11.07,
|
1561 |
+
"learning_rate": 1.5046153846153844e-07,
|
1562 |
+
"loss": 0.3946,
|
1563 |
+
"step": 6025
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 11.07,
|
1567 |
+
"learning_rate": 1.466153846153846e-07,
|
1568 |
+
"loss": 0.4453,
|
1569 |
+
"step": 6050
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 12.0,
|
1573 |
+
"learning_rate": 1.4276923076923076e-07,
|
1574 |
+
"loss": 0.4741,
|
1575 |
+
"step": 6075
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 12.01,
|
1579 |
+
"learning_rate": 1.389230769230769e-07,
|
1580 |
+
"loss": 0.4201,
|
1581 |
+
"step": 6100
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 12.01,
|
1585 |
+
"learning_rate": 1.3507692307692306e-07,
|
1586 |
+
"loss": 0.4456,
|
1587 |
+
"step": 6125
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 12.01,
|
1591 |
+
"learning_rate": 1.3123076923076923e-07,
|
1592 |
+
"loss": 0.4489,
|
1593 |
+
"step": 6150
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 12.02,
|
1597 |
+
"learning_rate": 1.2738461538461538e-07,
|
1598 |
+
"loss": 0.4399,
|
1599 |
+
"step": 6175
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 12.02,
|
1603 |
+
"learning_rate": 1.2353846153846153e-07,
|
1604 |
+
"loss": 0.4538,
|
1605 |
+
"step": 6200
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 12.02,
|
1609 |
+
"learning_rate": 1.196923076923077e-07,
|
1610 |
+
"loss": 0.4297,
|
1611 |
+
"step": 6225
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 12.03,
|
1615 |
+
"learning_rate": 1.1584615384615385e-07,
|
1616 |
+
"loss": 0.4568,
|
1617 |
+
"step": 6250
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 12.03,
|
1621 |
+
"learning_rate": 1.12e-07,
|
1622 |
+
"loss": 0.4262,
|
1623 |
+
"step": 6275
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 12.04,
|
1627 |
+
"learning_rate": 1.0815384615384614e-07,
|
1628 |
+
"loss": 0.4578,
|
1629 |
+
"step": 6300
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 12.04,
|
1633 |
+
"learning_rate": 1.043076923076923e-07,
|
1634 |
+
"loss": 0.425,
|
1635 |
+
"step": 6325
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 12.04,
|
1639 |
+
"learning_rate": 1.0046153846153845e-07,
|
1640 |
+
"loss": 0.4336,
|
1641 |
+
"step": 6350
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 12.05,
|
1645 |
+
"learning_rate": 9.661538461538462e-08,
|
1646 |
+
"loss": 0.3991,
|
1647 |
+
"step": 6375
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 12.05,
|
1651 |
+
"learning_rate": 9.276923076923076e-08,
|
1652 |
+
"loss": 0.4253,
|
1653 |
+
"step": 6400
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 12.05,
|
1657 |
+
"learning_rate": 8.892307692307692e-08,
|
1658 |
+
"loss": 0.427,
|
1659 |
+
"step": 6425
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 12.06,
|
1663 |
+
"learning_rate": 8.507692307692307e-08,
|
1664 |
+
"loss": 0.428,
|
1665 |
+
"step": 6450
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 12.06,
|
1669 |
+
"learning_rate": 8.123076923076923e-08,
|
1670 |
+
"loss": 0.4389,
|
1671 |
+
"step": 6475
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 12.06,
|
1675 |
+
"learning_rate": 7.738461538461538e-08,
|
1676 |
+
"loss": 0.4277,
|
1677 |
+
"step": 6500
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 12.06,
|
1681 |
+
"eval_loss": 0.565819501876831,
|
1682 |
+
"eval_runtime": 1225.0325,
|
1683 |
+
"eval_samples_per_second": 13.176,
|
1684 |
+
"eval_steps_per_second": 0.412,
|
1685 |
+
"eval_wer": 27.663398886037626,
|
1686 |
+
"step": 6500
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 12.07,
|
1690 |
+
"learning_rate": 7.353846153846153e-08,
|
1691 |
+
"loss": 0.4094,
|
1692 |
+
"step": 6525
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 12.07,
|
1696 |
+
"learning_rate": 6.969230769230769e-08,
|
1697 |
+
"loss": 0.4744,
|
1698 |
+
"step": 6550
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 13.0,
|
1702 |
+
"learning_rate": 6.584615384615384e-08,
|
1703 |
+
"loss": 0.4288,
|
1704 |
+
"step": 6575
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 13.01,
|
1708 |
+
"learning_rate": 6.2e-08,
|
1709 |
+
"loss": 0.4053,
|
1710 |
+
"step": 6600
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 13.01,
|
1714 |
+
"learning_rate": 5.8153846153846154e-08,
|
1715 |
+
"loss": 0.4049,
|
1716 |
+
"step": 6625
|
1717 |
+
},
|
1718 |
+
{
|
1719 |
+
"epoch": 13.01,
|
1720 |
+
"learning_rate": 5.43076923076923e-08,
|
1721 |
+
"loss": 0.4309,
|
1722 |
+
"step": 6650
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 13.02,
|
1726 |
+
"learning_rate": 5.0461538461538456e-08,
|
1727 |
+
"loss": 0.3928,
|
1728 |
+
"step": 6675
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 13.02,
|
1732 |
+
"learning_rate": 4.661538461538461e-08,
|
1733 |
+
"loss": 0.4274,
|
1734 |
+
"step": 6700
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 13.02,
|
1738 |
+
"learning_rate": 4.2769230769230765e-08,
|
1739 |
+
"loss": 0.423,
|
1740 |
+
"step": 6725
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 13.03,
|
1744 |
+
"learning_rate": 3.892307692307692e-08,
|
1745 |
+
"loss": 0.4922,
|
1746 |
+
"step": 6750
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 13.03,
|
1750 |
+
"learning_rate": 3.5076923076923074e-08,
|
1751 |
+
"loss": 0.4777,
|
1752 |
+
"step": 6775
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 13.03,
|
1756 |
+
"learning_rate": 3.123076923076923e-08,
|
1757 |
+
"loss": 0.4448,
|
1758 |
+
"step": 6800
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 13.04,
|
1762 |
+
"learning_rate": 2.7384615384615383e-08,
|
1763 |
+
"loss": 0.4551,
|
1764 |
+
"step": 6825
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 13.04,
|
1768 |
+
"learning_rate": 2.3538461538461538e-08,
|
1769 |
+
"loss": 0.5006,
|
1770 |
+
"step": 6850
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 13.05,
|
1774 |
+
"learning_rate": 1.9692307692307693e-08,
|
1775 |
+
"loss": 0.5345,
|
1776 |
+
"step": 6875
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 13.05,
|
1780 |
+
"learning_rate": 1.5846153846153847e-08,
|
1781 |
+
"loss": 0.4159,
|
1782 |
+
"step": 6900
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 13.05,
|
1786 |
+
"learning_rate": 1.2e-08,
|
1787 |
+
"loss": 0.4167,
|
1788 |
+
"step": 6925
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 13.06,
|
1792 |
+
"learning_rate": 8.153846153846153e-09,
|
1793 |
+
"loss": 0.4118,
|
1794 |
+
"step": 6950
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 13.06,
|
1798 |
+
"learning_rate": 4.307692307692307e-09,
|
1799 |
+
"loss": 0.3877,
|
1800 |
+
"step": 6975
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 13.06,
|
1804 |
+
"learning_rate": 4.615384615384615e-10,
|
1805 |
+
"loss": 0.419,
|
1806 |
+
"step": 7000
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 13.06,
|
1810 |
+
"eval_loss": 0.5653703808784485,
|
1811 |
+
"eval_runtime": 1226.1688,
|
1812 |
+
"eval_samples_per_second": 13.164,
|
1813 |
+
"eval_steps_per_second": 0.412,
|
1814 |
+
"eval_wer": 27.650982108014144,
|
1815 |
+
"step": 7000
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 13.06,
|
1819 |
+
"step": 7000,
|
1820 |
+
"total_flos": 2.905221919997952e+19,
|
1821 |
+
"train_loss": 0.5182813051768712,
|
1822 |
+
"train_runtime": 39943.7657,
|
1823 |
+
"train_samples_per_second": 11.216,
|
1824 |
+
"train_steps_per_second": 0.175
|
1825 |
+
}
|
1826 |
+
],
|
1827 |
+
"logging_steps": 25,
|
1828 |
+
"max_steps": 7000,
|
1829 |
+
"num_input_tokens_seen": 0,
|
1830 |
+
"num_train_epochs": 9223372036854775807,
|
1831 |
+
"save_steps": 500,
|
1832 |
+
"total_flos": 2.905221919997952e+19,
|
1833 |
+
"train_batch_size": 32,
|
1834 |
+
"trial_name": null,
|
1835 |
+
"trial_params": null
|
1836 |
+
}
|