End of training
Browse files- README.md +12 -9
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Feb07_19-14-38_ip-172-31-68-44/events.out.tfevents.1707404326.ip-172-31-68-44.1925.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +1320 -0
README.md
CHANGED
|
@@ -1,39 +1,42 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
base_model: openai/whisper-small
|
| 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: ar
|
| 20 |
split: test
|
| 21 |
args: ar
|
| 22 |
metrics:
|
| 23 |
- name: Wer
|
| 24 |
type: wer
|
| 25 |
-
value:
|
| 26 |
---
|
| 27 |
|
| 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_16_0 dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
|
| 36 |
-
- Wer:
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- ar
|
| 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_16_0
|
| 11 |
metrics:
|
| 12 |
- wer
|
| 13 |
model-index:
|
| 14 |
+
- name: Whisper Small Arabic
|
| 15 |
results:
|
| 16 |
- task:
|
| 17 |
name: Automatic Speech Recognition
|
| 18 |
type: automatic-speech-recognition
|
| 19 |
dataset:
|
| 20 |
+
name: mozilla-foundation/common_voice_16_0 ar
|
| 21 |
+
type: mozilla-foundation/common_voice_16_0
|
| 22 |
config: ar
|
| 23 |
split: test
|
| 24 |
args: ar
|
| 25 |
metrics:
|
| 26 |
- name: Wer
|
| 27 |
type: wer
|
| 28 |
+
value: 58.90729282066525
|
| 29 |
---
|
| 30 |
|
| 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 Arabic
|
| 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_16_0 ar dataset.
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
+
- Loss: 0.4005
|
| 39 |
+
- Wer: 58.9073
|
| 40 |
|
| 41 |
## Model description
|
| 42 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.34,
|
| 3 |
+
"eval_loss": 0.40053287148475647,
|
| 4 |
+
"eval_runtime": 2688.0099,
|
| 5 |
+
"eval_samples_per_second": 3.894,
|
| 6 |
+
"eval_steps_per_second": 0.122,
|
| 7 |
+
"eval_wer": 58.90729282066525,
|
| 8 |
+
"train_loss": 0.23562390689849855,
|
| 9 |
+
"train_runtime": 67707.284,
|
| 10 |
+
"train_samples_per_second": 4.726,
|
| 11 |
+
"train_steps_per_second": 0.074
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.34,
|
| 3 |
+
"eval_loss": 0.40053287148475647,
|
| 4 |
+
"eval_runtime": 2688.0099,
|
| 5 |
+
"eval_samples_per_second": 3.894,
|
| 6 |
+
"eval_steps_per_second": 0.122,
|
| 7 |
+
"eval_wer": 58.90729282066525
|
| 8 |
+
}
|
runs/Feb07_19-14-38_ip-172-31-68-44/events.out.tfevents.1707404326.ip-172-31-68-44.1925.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b496f23590b2bc1d73f2282c058ff4f20889900d34c13e669fab88aa433ef27d
|
| 3 |
+
size 406
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.34,
|
| 3 |
+
"train_loss": 0.23562390689849855,
|
| 4 |
+
"train_runtime": 67707.284,
|
| 5 |
+
"train_samples_per_second": 4.726,
|
| 6 |
+
"train_steps_per_second": 0.074
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1320 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 58.90729282066525,
|
| 3 |
+
"best_model_checkpoint": "./checkpoint-3500",
|
| 4 |
+
"epoch": 15.337423312883436,
|
| 5 |
+
"eval_steps": 500,
|
| 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": 0.08,
|
| 13 |
+
"learning_rate": 4.6e-07,
|
| 14 |
+
"loss": 1.0735,
|
| 15 |
+
"step": 25
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.15,
|
| 19 |
+
"learning_rate": 9.6e-07,
|
| 20 |
+
"loss": 0.9014,
|
| 21 |
+
"step": 50
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.23,
|
| 25 |
+
"learning_rate": 9.953535353535352e-07,
|
| 26 |
+
"loss": 0.651,
|
| 27 |
+
"step": 75
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.31,
|
| 31 |
+
"learning_rate": 9.903030303030303e-07,
|
| 32 |
+
"loss": 0.4902,
|
| 33 |
+
"step": 100
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.38,
|
| 37 |
+
"learning_rate": 9.852525252525253e-07,
|
| 38 |
+
"loss": 0.4484,
|
| 39 |
+
"step": 125
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.46,
|
| 43 |
+
"learning_rate": 9.802020202020202e-07,
|
| 44 |
+
"loss": 0.4164,
|
| 45 |
+
"step": 150
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.54,
|
| 49 |
+
"learning_rate": 9.751515151515151e-07,
|
| 50 |
+
"loss": 0.4303,
|
| 51 |
+
"step": 175
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.61,
|
| 55 |
+
"learning_rate": 9.7010101010101e-07,
|
| 56 |
+
"loss": 0.4073,
|
| 57 |
+
"step": 200
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.69,
|
| 61 |
+
"learning_rate": 9.65050505050505e-07,
|
| 62 |
+
"loss": 0.3977,
|
| 63 |
+
"step": 225
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.77,
|
| 67 |
+
"learning_rate": 9.6e-07,
|
| 68 |
+
"loss": 0.3906,
|
| 69 |
+
"step": 250
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.84,
|
| 73 |
+
"learning_rate": 9.549494949494948e-07,
|
| 74 |
+
"loss": 0.3687,
|
| 75 |
+
"step": 275
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.92,
|
| 79 |
+
"learning_rate": 9.498989898989899e-07,
|
| 80 |
+
"loss": 0.3817,
|
| 81 |
+
"step": 300
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 1.0,
|
| 85 |
+
"learning_rate": 9.448484848484848e-07,
|
| 86 |
+
"loss": 0.3733,
|
| 87 |
+
"step": 325
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 1.07,
|
| 91 |
+
"learning_rate": 9.397979797979797e-07,
|
| 92 |
+
"loss": 0.3608,
|
| 93 |
+
"step": 350
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 1.15,
|
| 97 |
+
"learning_rate": 9.347474747474747e-07,
|
| 98 |
+
"loss": 0.3519,
|
| 99 |
+
"step": 375
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 1.23,
|
| 103 |
+
"learning_rate": 9.296969696969696e-07,
|
| 104 |
+
"loss": 0.3286,
|
| 105 |
+
"step": 400
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.3,
|
| 109 |
+
"learning_rate": 9.246464646464645e-07,
|
| 110 |
+
"loss": 0.3468,
|
| 111 |
+
"step": 425
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 1.38,
|
| 115 |
+
"learning_rate": 9.195959595959596e-07,
|
| 116 |
+
"loss": 0.3386,
|
| 117 |
+
"step": 450
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 1.46,
|
| 121 |
+
"learning_rate": 9.145454545454545e-07,
|
| 122 |
+
"loss": 0.3356,
|
| 123 |
+
"step": 475
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.53,
|
| 127 |
+
"learning_rate": 9.094949494949494e-07,
|
| 128 |
+
"loss": 0.3404,
|
| 129 |
+
"step": 500
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 1.53,
|
| 133 |
+
"eval_loss": 0.46061962842941284,
|
| 134 |
+
"eval_runtime": 2718.8588,
|
| 135 |
+
"eval_samples_per_second": 3.849,
|
| 136 |
+
"eval_steps_per_second": 0.121,
|
| 137 |
+
"eval_wer": 66.62163257585992,
|
| 138 |
+
"step": 500
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 1.61,
|
| 142 |
+
"learning_rate": 9.044444444444445e-07,
|
| 143 |
+
"loss": 0.3266,
|
| 144 |
+
"step": 525
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 1.69,
|
| 148 |
+
"learning_rate": 8.993939393939394e-07,
|
| 149 |
+
"loss": 0.3369,
|
| 150 |
+
"step": 550
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.76,
|
| 154 |
+
"learning_rate": 8.943434343434342e-07,
|
| 155 |
+
"loss": 0.3154,
|
| 156 |
+
"step": 575
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.84,
|
| 160 |
+
"learning_rate": 8.892929292929292e-07,
|
| 161 |
+
"loss": 0.3285,
|
| 162 |
+
"step": 600
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 1.92,
|
| 166 |
+
"learning_rate": 8.842424242424242e-07,
|
| 167 |
+
"loss": 0.3154,
|
| 168 |
+
"step": 625
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 1.99,
|
| 172 |
+
"learning_rate": 8.791919191919191e-07,
|
| 173 |
+
"loss": 0.3243,
|
| 174 |
+
"step": 650
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.07,
|
| 178 |
+
"learning_rate": 8.741414141414141e-07,
|
| 179 |
+
"loss": 0.3045,
|
| 180 |
+
"step": 675
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 2.15,
|
| 184 |
+
"learning_rate": 8.690909090909091e-07,
|
| 185 |
+
"loss": 0.2976,
|
| 186 |
+
"step": 700
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 2.22,
|
| 190 |
+
"learning_rate": 8.64040404040404e-07,
|
| 191 |
+
"loss": 0.2947,
|
| 192 |
+
"step": 725
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 2.3,
|
| 196 |
+
"learning_rate": 8.58989898989899e-07,
|
| 197 |
+
"loss": 0.2951,
|
| 198 |
+
"step": 750
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 2.38,
|
| 202 |
+
"learning_rate": 8.539393939393939e-07,
|
| 203 |
+
"loss": 0.2865,
|
| 204 |
+
"step": 775
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 2.45,
|
| 208 |
+
"learning_rate": 8.488888888888888e-07,
|
| 209 |
+
"loss": 0.3027,
|
| 210 |
+
"step": 800
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 2.53,
|
| 214 |
+
"learning_rate": 8.438383838383838e-07,
|
| 215 |
+
"loss": 0.2963,
|
| 216 |
+
"step": 825
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 2.61,
|
| 220 |
+
"learning_rate": 8.387878787878787e-07,
|
| 221 |
+
"loss": 0.2903,
|
| 222 |
+
"step": 850
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 2.68,
|
| 226 |
+
"learning_rate": 8.337373737373737e-07,
|
| 227 |
+
"loss": 0.2887,
|
| 228 |
+
"step": 875
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 2.76,
|
| 232 |
+
"learning_rate": 8.286868686868687e-07,
|
| 233 |
+
"loss": 0.2903,
|
| 234 |
+
"step": 900
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 2.84,
|
| 238 |
+
"learning_rate": 8.236363636363636e-07,
|
| 239 |
+
"loss": 0.2836,
|
| 240 |
+
"step": 925
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 2.91,
|
| 244 |
+
"learning_rate": 8.185858585858586e-07,
|
| 245 |
+
"loss": 0.2832,
|
| 246 |
+
"step": 950
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 2.99,
|
| 250 |
+
"learning_rate": 8.135353535353536e-07,
|
| 251 |
+
"loss": 0.2984,
|
| 252 |
+
"step": 975
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 3.07,
|
| 256 |
+
"learning_rate": 8.084848484848484e-07,
|
| 257 |
+
"loss": 0.2707,
|
| 258 |
+
"step": 1000
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 3.07,
|
| 262 |
+
"eval_loss": 0.42951369285583496,
|
| 263 |
+
"eval_runtime": 2739.5863,
|
| 264 |
+
"eval_samples_per_second": 3.82,
|
| 265 |
+
"eval_steps_per_second": 0.12,
|
| 266 |
+
"eval_wer": 66.84995541625011,
|
| 267 |
+
"step": 1000
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.14,
|
| 271 |
+
"learning_rate": 8.034343434343433e-07,
|
| 272 |
+
"loss": 0.2778,
|
| 273 |
+
"step": 1025
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 3.22,
|
| 277 |
+
"learning_rate": 7.983838383838384e-07,
|
| 278 |
+
"loss": 0.2742,
|
| 279 |
+
"step": 1050
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 3.3,
|
| 283 |
+
"learning_rate": 7.933333333333333e-07,
|
| 284 |
+
"loss": 0.2626,
|
| 285 |
+
"step": 1075
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 3.37,
|
| 289 |
+
"learning_rate": 7.882828282828282e-07,
|
| 290 |
+
"loss": 0.2658,
|
| 291 |
+
"step": 1100
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 3.45,
|
| 295 |
+
"learning_rate": 7.832323232323233e-07,
|
| 296 |
+
"loss": 0.2654,
|
| 297 |
+
"step": 1125
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 3.53,
|
| 301 |
+
"learning_rate": 7.781818181818182e-07,
|
| 302 |
+
"loss": 0.2634,
|
| 303 |
+
"step": 1150
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 3.6,
|
| 307 |
+
"learning_rate": 7.731313131313131e-07,
|
| 308 |
+
"loss": 0.2609,
|
| 309 |
+
"step": 1175
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 3.68,
|
| 313 |
+
"learning_rate": 7.68080808080808e-07,
|
| 314 |
+
"loss": 0.262,
|
| 315 |
+
"step": 1200
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 3.76,
|
| 319 |
+
"learning_rate": 7.63030303030303e-07,
|
| 320 |
+
"loss": 0.2701,
|
| 321 |
+
"step": 1225
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 3.83,
|
| 325 |
+
"learning_rate": 7.579797979797979e-07,
|
| 326 |
+
"loss": 0.2646,
|
| 327 |
+
"step": 1250
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 3.91,
|
| 331 |
+
"learning_rate": 7.529292929292928e-07,
|
| 332 |
+
"loss": 0.2692,
|
| 333 |
+
"step": 1275
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 3.99,
|
| 337 |
+
"learning_rate": 7.478787878787879e-07,
|
| 338 |
+
"loss": 0.2588,
|
| 339 |
+
"step": 1300
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 4.06,
|
| 343 |
+
"learning_rate": 7.428282828282828e-07,
|
| 344 |
+
"loss": 0.2549,
|
| 345 |
+
"step": 1325
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 4.14,
|
| 349 |
+
"learning_rate": 7.377777777777777e-07,
|
| 350 |
+
"loss": 0.2376,
|
| 351 |
+
"step": 1350
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 4.22,
|
| 355 |
+
"learning_rate": 7.327272727272728e-07,
|
| 356 |
+
"loss": 0.2542,
|
| 357 |
+
"step": 1375
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 4.29,
|
| 361 |
+
"learning_rate": 7.276767676767677e-07,
|
| 362 |
+
"loss": 0.2634,
|
| 363 |
+
"step": 1400
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 4.37,
|
| 367 |
+
"learning_rate": 7.226262626262625e-07,
|
| 368 |
+
"loss": 0.2453,
|
| 369 |
+
"step": 1425
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 4.45,
|
| 373 |
+
"learning_rate": 7.175757575757575e-07,
|
| 374 |
+
"loss": 0.2393,
|
| 375 |
+
"step": 1450
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 4.52,
|
| 379 |
+
"learning_rate": 7.125252525252525e-07,
|
| 380 |
+
"loss": 0.2466,
|
| 381 |
+
"step": 1475
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 4.6,
|
| 385 |
+
"learning_rate": 7.074747474747474e-07,
|
| 386 |
+
"loss": 0.2427,
|
| 387 |
+
"step": 1500
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 4.6,
|
| 391 |
+
"eval_loss": 0.4123845398426056,
|
| 392 |
+
"eval_runtime": 2708.1735,
|
| 393 |
+
"eval_samples_per_second": 3.865,
|
| 394 |
+
"eval_steps_per_second": 0.121,
|
| 395 |
+
"eval_wer": 61.166202815531356,
|
| 396 |
+
"step": 1500
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 4.68,
|
| 400 |
+
"learning_rate": 7.024242424242424e-07,
|
| 401 |
+
"loss": 0.247,
|
| 402 |
+
"step": 1525
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 4.75,
|
| 406 |
+
"learning_rate": 6.973737373737374e-07,
|
| 407 |
+
"loss": 0.2531,
|
| 408 |
+
"step": 1550
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 4.83,
|
| 412 |
+
"learning_rate": 6.923232323232323e-07,
|
| 413 |
+
"loss": 0.2496,
|
| 414 |
+
"step": 1575
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 4.91,
|
| 418 |
+
"learning_rate": 6.872727272727273e-07,
|
| 419 |
+
"loss": 0.2366,
|
| 420 |
+
"step": 1600
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 4.98,
|
| 424 |
+
"learning_rate": 6.822222222222221e-07,
|
| 425 |
+
"loss": 0.2287,
|
| 426 |
+
"step": 1625
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 5.06,
|
| 430 |
+
"learning_rate": 6.771717171717171e-07,
|
| 431 |
+
"loss": 0.2352,
|
| 432 |
+
"step": 1650
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 5.14,
|
| 436 |
+
"learning_rate": 6.721212121212121e-07,
|
| 437 |
+
"loss": 0.2242,
|
| 438 |
+
"step": 1675
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 5.21,
|
| 442 |
+
"learning_rate": 6.67070707070707e-07,
|
| 443 |
+
"loss": 0.2288,
|
| 444 |
+
"step": 1700
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 5.29,
|
| 448 |
+
"learning_rate": 6.62020202020202e-07,
|
| 449 |
+
"loss": 0.2374,
|
| 450 |
+
"step": 1725
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 5.37,
|
| 454 |
+
"learning_rate": 6.56969696969697e-07,
|
| 455 |
+
"loss": 0.2312,
|
| 456 |
+
"step": 1750
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 5.44,
|
| 460 |
+
"learning_rate": 6.519191919191919e-07,
|
| 461 |
+
"loss": 0.2279,
|
| 462 |
+
"step": 1775
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 5.52,
|
| 466 |
+
"learning_rate": 6.468686868686868e-07,
|
| 467 |
+
"loss": 0.2263,
|
| 468 |
+
"step": 1800
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 5.6,
|
| 472 |
+
"learning_rate": 6.418181818181818e-07,
|
| 473 |
+
"loss": 0.2305,
|
| 474 |
+
"step": 1825
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 5.67,
|
| 478 |
+
"learning_rate": 6.367676767676767e-07,
|
| 479 |
+
"loss": 0.2251,
|
| 480 |
+
"step": 1850
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 5.75,
|
| 484 |
+
"learning_rate": 6.317171717171716e-07,
|
| 485 |
+
"loss": 0.2285,
|
| 486 |
+
"step": 1875
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 5.83,
|
| 490 |
+
"learning_rate": 6.266666666666667e-07,
|
| 491 |
+
"loss": 0.2308,
|
| 492 |
+
"step": 1900
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 5.9,
|
| 496 |
+
"learning_rate": 6.216161616161616e-07,
|
| 497 |
+
"loss": 0.2343,
|
| 498 |
+
"step": 1925
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 5.98,
|
| 502 |
+
"learning_rate": 6.165656565656565e-07,
|
| 503 |
+
"loss": 0.2335,
|
| 504 |
+
"step": 1950
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 6.06,
|
| 508 |
+
"learning_rate": 6.115151515151516e-07,
|
| 509 |
+
"loss": 0.2246,
|
| 510 |
+
"step": 1975
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 6.13,
|
| 514 |
+
"learning_rate": 6.064646464646465e-07,
|
| 515 |
+
"loss": 0.2131,
|
| 516 |
+
"step": 2000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 6.13,
|
| 520 |
+
"eval_loss": 0.4056357443332672,
|
| 521 |
+
"eval_runtime": 2709.0159,
|
| 522 |
+
"eval_samples_per_second": 3.863,
|
| 523 |
+
"eval_steps_per_second": 0.121,
|
| 524 |
+
"eval_wer": 62.303763949309634,
|
| 525 |
+
"step": 2000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 6.21,
|
| 529 |
+
"learning_rate": 6.014141414141413e-07,
|
| 530 |
+
"loss": 0.2113,
|
| 531 |
+
"step": 2025
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 6.29,
|
| 535 |
+
"learning_rate": 5.963636363636363e-07,
|
| 536 |
+
"loss": 0.2207,
|
| 537 |
+
"step": 2050
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 6.37,
|
| 541 |
+
"learning_rate": 5.913131313131313e-07,
|
| 542 |
+
"loss": 0.2171,
|
| 543 |
+
"step": 2075
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 6.44,
|
| 547 |
+
"learning_rate": 5.862626262626262e-07,
|
| 548 |
+
"loss": 0.2112,
|
| 549 |
+
"step": 2100
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 6.52,
|
| 553 |
+
"learning_rate": 5.812121212121212e-07,
|
| 554 |
+
"loss": 0.2098,
|
| 555 |
+
"step": 2125
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 6.6,
|
| 559 |
+
"learning_rate": 5.761616161616162e-07,
|
| 560 |
+
"loss": 0.2094,
|
| 561 |
+
"step": 2150
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 6.67,
|
| 565 |
+
"learning_rate": 5.711111111111111e-07,
|
| 566 |
+
"loss": 0.2149,
|
| 567 |
+
"step": 2175
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 6.75,
|
| 571 |
+
"learning_rate": 5.660606060606061e-07,
|
| 572 |
+
"loss": 0.2162,
|
| 573 |
+
"step": 2200
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 6.83,
|
| 577 |
+
"learning_rate": 5.610101010101009e-07,
|
| 578 |
+
"loss": 0.2216,
|
| 579 |
+
"step": 2225
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 6.9,
|
| 583 |
+
"learning_rate": 5.559595959595959e-07,
|
| 584 |
+
"loss": 0.2169,
|
| 585 |
+
"step": 2250
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 6.98,
|
| 589 |
+
"learning_rate": 5.509090909090909e-07,
|
| 590 |
+
"loss": 0.2209,
|
| 591 |
+
"step": 2275
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 7.06,
|
| 595 |
+
"learning_rate": 5.458585858585858e-07,
|
| 596 |
+
"loss": 0.2108,
|
| 597 |
+
"step": 2300
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 7.13,
|
| 601 |
+
"learning_rate": 5.408080808080808e-07,
|
| 602 |
+
"loss": 0.198,
|
| 603 |
+
"step": 2325
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 7.21,
|
| 607 |
+
"learning_rate": 5.357575757575758e-07,
|
| 608 |
+
"loss": 0.2075,
|
| 609 |
+
"step": 2350
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 7.29,
|
| 613 |
+
"learning_rate": 5.307070707070707e-07,
|
| 614 |
+
"loss": 0.2067,
|
| 615 |
+
"step": 2375
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 7.36,
|
| 619 |
+
"learning_rate": 5.256565656565657e-07,
|
| 620 |
+
"loss": 0.2193,
|
| 621 |
+
"step": 2400
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 7.44,
|
| 625 |
+
"learning_rate": 5.206060606060607e-07,
|
| 626 |
+
"loss": 0.1996,
|
| 627 |
+
"step": 2425
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 7.52,
|
| 631 |
+
"learning_rate": 5.155555555555555e-07,
|
| 632 |
+
"loss": 0.2118,
|
| 633 |
+
"step": 2450
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 7.59,
|
| 637 |
+
"learning_rate": 5.105050505050504e-07,
|
| 638 |
+
"loss": 0.1938,
|
| 639 |
+
"step": 2475
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 7.67,
|
| 643 |
+
"learning_rate": 5.054545454545454e-07,
|
| 644 |
+
"loss": 0.2085,
|
| 645 |
+
"step": 2500
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 7.67,
|
| 649 |
+
"eval_loss": 0.401197612285614,
|
| 650 |
+
"eval_runtime": 2721.3063,
|
| 651 |
+
"eval_samples_per_second": 3.846,
|
| 652 |
+
"eval_steps_per_second": 0.121,
|
| 653 |
+
"eval_wer": 62.27539247210137,
|
| 654 |
+
"step": 2500
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 7.75,
|
| 658 |
+
"learning_rate": 5.004040404040404e-07,
|
| 659 |
+
"loss": 0.1983,
|
| 660 |
+
"step": 2525
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 7.82,
|
| 664 |
+
"learning_rate": 4.953535353535353e-07,
|
| 665 |
+
"loss": 0.2098,
|
| 666 |
+
"step": 2550
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 7.9,
|
| 670 |
+
"learning_rate": 4.903030303030302e-07,
|
| 671 |
+
"loss": 0.2036,
|
| 672 |
+
"step": 2575
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 7.98,
|
| 676 |
+
"learning_rate": 4.852525252525253e-07,
|
| 677 |
+
"loss": 0.2024,
|
| 678 |
+
"step": 2600
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 8.05,
|
| 682 |
+
"learning_rate": 4.802020202020202e-07,
|
| 683 |
+
"loss": 0.2074,
|
| 684 |
+
"step": 2625
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 8.13,
|
| 688 |
+
"learning_rate": 4.7515151515151514e-07,
|
| 689 |
+
"loss": 0.1989,
|
| 690 |
+
"step": 2650
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 8.21,
|
| 694 |
+
"learning_rate": 4.701010101010101e-07,
|
| 695 |
+
"loss": 0.1904,
|
| 696 |
+
"step": 2675
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 8.28,
|
| 700 |
+
"learning_rate": 4.65050505050505e-07,
|
| 701 |
+
"loss": 0.1921,
|
| 702 |
+
"step": 2700
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 8.36,
|
| 706 |
+
"learning_rate": 4.6e-07,
|
| 707 |
+
"loss": 0.1993,
|
| 708 |
+
"step": 2725
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 8.44,
|
| 712 |
+
"learning_rate": 4.549494949494949e-07,
|
| 713 |
+
"loss": 0.1966,
|
| 714 |
+
"step": 2750
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 8.51,
|
| 718 |
+
"learning_rate": 4.498989898989899e-07,
|
| 719 |
+
"loss": 0.1912,
|
| 720 |
+
"step": 2775
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 8.59,
|
| 724 |
+
"learning_rate": 4.448484848484848e-07,
|
| 725 |
+
"loss": 0.2001,
|
| 726 |
+
"step": 2800
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 8.67,
|
| 730 |
+
"learning_rate": 4.3979797979797977e-07,
|
| 731 |
+
"loss": 0.2025,
|
| 732 |
+
"step": 2825
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 8.74,
|
| 736 |
+
"learning_rate": 4.3474747474747475e-07,
|
| 737 |
+
"loss": 0.192,
|
| 738 |
+
"step": 2850
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 8.82,
|
| 742 |
+
"learning_rate": 4.296969696969697e-07,
|
| 743 |
+
"loss": 0.1979,
|
| 744 |
+
"step": 2875
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 8.9,
|
| 748 |
+
"learning_rate": 4.246464646464646e-07,
|
| 749 |
+
"loss": 0.1928,
|
| 750 |
+
"step": 2900
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 8.97,
|
| 754 |
+
"learning_rate": 4.1959595959595955e-07,
|
| 755 |
+
"loss": 0.1845,
|
| 756 |
+
"step": 2925
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 9.05,
|
| 760 |
+
"learning_rate": 4.1454545454545453e-07,
|
| 761 |
+
"loss": 0.1846,
|
| 762 |
+
"step": 2950
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 9.13,
|
| 766 |
+
"learning_rate": 4.0949494949494946e-07,
|
| 767 |
+
"loss": 0.1926,
|
| 768 |
+
"step": 2975
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 9.2,
|
| 772 |
+
"learning_rate": 4.044444444444444e-07,
|
| 773 |
+
"loss": 0.1904,
|
| 774 |
+
"step": 3000
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 9.2,
|
| 778 |
+
"eval_loss": 0.3976161777973175,
|
| 779 |
+
"eval_runtime": 2684.5933,
|
| 780 |
+
"eval_samples_per_second": 3.899,
|
| 781 |
+
"eval_steps_per_second": 0.122,
|
| 782 |
+
"eval_wer": 59.734118727877004,
|
| 783 |
+
"step": 3000
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 9.28,
|
| 787 |
+
"learning_rate": 3.993939393939394e-07,
|
| 788 |
+
"loss": 0.1972,
|
| 789 |
+
"step": 3025
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 9.36,
|
| 793 |
+
"learning_rate": 3.943434343434343e-07,
|
| 794 |
+
"loss": 0.1881,
|
| 795 |
+
"step": 3050
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 9.43,
|
| 799 |
+
"learning_rate": 3.892929292929293e-07,
|
| 800 |
+
"loss": 0.1935,
|
| 801 |
+
"step": 3075
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 9.51,
|
| 805 |
+
"learning_rate": 3.8424242424242423e-07,
|
| 806 |
+
"loss": 0.1911,
|
| 807 |
+
"step": 3100
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 9.59,
|
| 811 |
+
"learning_rate": 3.7919191919191916e-07,
|
| 812 |
+
"loss": 0.1852,
|
| 813 |
+
"step": 3125
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 9.66,
|
| 817 |
+
"learning_rate": 3.7414141414141414e-07,
|
| 818 |
+
"loss": 0.1939,
|
| 819 |
+
"step": 3150
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 9.74,
|
| 823 |
+
"learning_rate": 3.690909090909091e-07,
|
| 824 |
+
"loss": 0.1834,
|
| 825 |
+
"step": 3175
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 9.82,
|
| 829 |
+
"learning_rate": 3.6404040404040406e-07,
|
| 830 |
+
"loss": 0.1794,
|
| 831 |
+
"step": 3200
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 9.89,
|
| 835 |
+
"learning_rate": 3.5898989898989894e-07,
|
| 836 |
+
"loss": 0.1878,
|
| 837 |
+
"step": 3225
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 9.97,
|
| 841 |
+
"learning_rate": 3.539393939393939e-07,
|
| 842 |
+
"loss": 0.1884,
|
| 843 |
+
"step": 3250
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 10.05,
|
| 847 |
+
"learning_rate": 3.488888888888889e-07,
|
| 848 |
+
"loss": 0.1844,
|
| 849 |
+
"step": 3275
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 10.12,
|
| 853 |
+
"learning_rate": 3.4383838383838384e-07,
|
| 854 |
+
"loss": 0.1744,
|
| 855 |
+
"step": 3300
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 10.2,
|
| 859 |
+
"learning_rate": 3.3878787878787877e-07,
|
| 860 |
+
"loss": 0.1848,
|
| 861 |
+
"step": 3325
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 10.28,
|
| 865 |
+
"learning_rate": 3.337373737373737e-07,
|
| 866 |
+
"loss": 0.1792,
|
| 867 |
+
"step": 3350
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 10.35,
|
| 871 |
+
"learning_rate": 3.286868686868687e-07,
|
| 872 |
+
"loss": 0.1757,
|
| 873 |
+
"step": 3375
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 10.43,
|
| 877 |
+
"learning_rate": 3.236363636363636e-07,
|
| 878 |
+
"loss": 0.1815,
|
| 879 |
+
"step": 3400
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 10.51,
|
| 883 |
+
"learning_rate": 3.1858585858585855e-07,
|
| 884 |
+
"loss": 0.1758,
|
| 885 |
+
"step": 3425
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 10.58,
|
| 889 |
+
"learning_rate": 3.1353535353535353e-07,
|
| 890 |
+
"loss": 0.1895,
|
| 891 |
+
"step": 3450
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 10.66,
|
| 895 |
+
"learning_rate": 3.0848484848484847e-07,
|
| 896 |
+
"loss": 0.177,
|
| 897 |
+
"step": 3475
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 10.74,
|
| 901 |
+
"learning_rate": 3.0343434343434345e-07,
|
| 902 |
+
"loss": 0.1836,
|
| 903 |
+
"step": 3500
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 10.74,
|
| 907 |
+
"eval_loss": 0.40053287148475647,
|
| 908 |
+
"eval_runtime": 2681.3744,
|
| 909 |
+
"eval_samples_per_second": 3.903,
|
| 910 |
+
"eval_steps_per_second": 0.122,
|
| 911 |
+
"eval_wer": 58.90729282066525,
|
| 912 |
+
"step": 3500
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 10.81,
|
| 916 |
+
"learning_rate": 2.9838383838383833e-07,
|
| 917 |
+
"loss": 0.1861,
|
| 918 |
+
"step": 3525
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 10.89,
|
| 922 |
+
"learning_rate": 2.933333333333333e-07,
|
| 923 |
+
"loss": 0.1817,
|
| 924 |
+
"step": 3550
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"epoch": 10.97,
|
| 928 |
+
"learning_rate": 2.882828282828283e-07,
|
| 929 |
+
"loss": 0.1854,
|
| 930 |
+
"step": 3575
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 11.04,
|
| 934 |
+
"learning_rate": 2.8323232323232323e-07,
|
| 935 |
+
"loss": 0.1796,
|
| 936 |
+
"step": 3600
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 11.12,
|
| 940 |
+
"learning_rate": 2.7818181818181816e-07,
|
| 941 |
+
"loss": 0.1719,
|
| 942 |
+
"step": 3625
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 11.2,
|
| 946 |
+
"learning_rate": 2.731313131313131e-07,
|
| 947 |
+
"loss": 0.1718,
|
| 948 |
+
"step": 3650
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 11.27,
|
| 952 |
+
"learning_rate": 2.680808080808081e-07,
|
| 953 |
+
"loss": 0.1774,
|
| 954 |
+
"step": 3675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 11.35,
|
| 958 |
+
"learning_rate": 2.63030303030303e-07,
|
| 959 |
+
"loss": 0.1795,
|
| 960 |
+
"step": 3700
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 11.43,
|
| 964 |
+
"learning_rate": 2.5797979797979794e-07,
|
| 965 |
+
"loss": 0.1784,
|
| 966 |
+
"step": 3725
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 11.5,
|
| 970 |
+
"learning_rate": 2.529292929292929e-07,
|
| 971 |
+
"loss": 0.1689,
|
| 972 |
+
"step": 3750
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 11.58,
|
| 976 |
+
"learning_rate": 2.4787878787878786e-07,
|
| 977 |
+
"loss": 0.1792,
|
| 978 |
+
"step": 3775
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 11.66,
|
| 982 |
+
"learning_rate": 2.4282828282828284e-07,
|
| 983 |
+
"loss": 0.1749,
|
| 984 |
+
"step": 3800
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 11.73,
|
| 988 |
+
"learning_rate": 2.3777777777777777e-07,
|
| 989 |
+
"loss": 0.1787,
|
| 990 |
+
"step": 3825
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 11.81,
|
| 994 |
+
"learning_rate": 2.3272727272727273e-07,
|
| 995 |
+
"loss": 0.1816,
|
| 996 |
+
"step": 3850
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 11.89,
|
| 1000 |
+
"learning_rate": 2.2767676767676766e-07,
|
| 1001 |
+
"loss": 0.171,
|
| 1002 |
+
"step": 3875
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 11.96,
|
| 1006 |
+
"learning_rate": 2.2262626262626262e-07,
|
| 1007 |
+
"loss": 0.1794,
|
| 1008 |
+
"step": 3900
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 12.04,
|
| 1012 |
+
"learning_rate": 2.1757575757575758e-07,
|
| 1013 |
+
"loss": 0.1651,
|
| 1014 |
+
"step": 3925
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 12.12,
|
| 1018 |
+
"learning_rate": 2.1252525252525254e-07,
|
| 1019 |
+
"loss": 0.1689,
|
| 1020 |
+
"step": 3950
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 12.19,
|
| 1024 |
+
"learning_rate": 2.0747474747474747e-07,
|
| 1025 |
+
"loss": 0.1747,
|
| 1026 |
+
"step": 3975
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 12.27,
|
| 1030 |
+
"learning_rate": 2.0242424242424242e-07,
|
| 1031 |
+
"loss": 0.1653,
|
| 1032 |
+
"step": 4000
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 12.27,
|
| 1036 |
+
"eval_loss": 0.3988991677761078,
|
| 1037 |
+
"eval_runtime": 2674.7246,
|
| 1038 |
+
"eval_samples_per_second": 3.913,
|
| 1039 |
+
"eval_steps_per_second": 0.123,
|
| 1040 |
+
"eval_wer": 59.77735145505147,
|
| 1041 |
+
"step": 4000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 12.35,
|
| 1045 |
+
"learning_rate": 1.9737373737373736e-07,
|
| 1046 |
+
"loss": 0.1748,
|
| 1047 |
+
"step": 4025
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 12.42,
|
| 1051 |
+
"learning_rate": 1.9232323232323231e-07,
|
| 1052 |
+
"loss": 0.1722,
|
| 1053 |
+
"step": 4050
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 12.5,
|
| 1057 |
+
"learning_rate": 1.8727272727272727e-07,
|
| 1058 |
+
"loss": 0.1678,
|
| 1059 |
+
"step": 4075
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 12.58,
|
| 1063 |
+
"learning_rate": 1.8222222222222223e-07,
|
| 1064 |
+
"loss": 0.1784,
|
| 1065 |
+
"step": 4100
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 12.65,
|
| 1069 |
+
"learning_rate": 1.7717171717171716e-07,
|
| 1070 |
+
"loss": 0.1795,
|
| 1071 |
+
"step": 4125
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 12.73,
|
| 1075 |
+
"learning_rate": 1.7212121212121212e-07,
|
| 1076 |
+
"loss": 0.1752,
|
| 1077 |
+
"step": 4150
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 12.81,
|
| 1081 |
+
"learning_rate": 1.6707070707070705e-07,
|
| 1082 |
+
"loss": 0.1725,
|
| 1083 |
+
"step": 4175
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 12.88,
|
| 1087 |
+
"learning_rate": 1.62020202020202e-07,
|
| 1088 |
+
"loss": 0.1792,
|
| 1089 |
+
"step": 4200
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 12.96,
|
| 1093 |
+
"learning_rate": 1.5696969696969697e-07,
|
| 1094 |
+
"loss": 0.169,
|
| 1095 |
+
"step": 4225
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 13.04,
|
| 1099 |
+
"learning_rate": 1.5191919191919193e-07,
|
| 1100 |
+
"loss": 0.1643,
|
| 1101 |
+
"step": 4250
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 13.11,
|
| 1105 |
+
"learning_rate": 1.4686868686868686e-07,
|
| 1106 |
+
"loss": 0.1653,
|
| 1107 |
+
"step": 4275
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"epoch": 13.19,
|
| 1111 |
+
"learning_rate": 1.4181818181818182e-07,
|
| 1112 |
+
"loss": 0.1743,
|
| 1113 |
+
"step": 4300
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 13.27,
|
| 1117 |
+
"learning_rate": 1.3676767676767675e-07,
|
| 1118 |
+
"loss": 0.1677,
|
| 1119 |
+
"step": 4325
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 13.34,
|
| 1123 |
+
"learning_rate": 1.317171717171717e-07,
|
| 1124 |
+
"loss": 0.1724,
|
| 1125 |
+
"step": 4350
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 13.42,
|
| 1129 |
+
"learning_rate": 1.2666666666666666e-07,
|
| 1130 |
+
"loss": 0.17,
|
| 1131 |
+
"step": 4375
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 13.5,
|
| 1135 |
+
"learning_rate": 1.2161616161616162e-07,
|
| 1136 |
+
"loss": 0.1665,
|
| 1137 |
+
"step": 4400
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 13.57,
|
| 1141 |
+
"learning_rate": 1.1656565656565657e-07,
|
| 1142 |
+
"loss": 0.1733,
|
| 1143 |
+
"step": 4425
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 13.65,
|
| 1147 |
+
"learning_rate": 1.1151515151515151e-07,
|
| 1148 |
+
"loss": 0.1655,
|
| 1149 |
+
"step": 4450
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 13.73,
|
| 1153 |
+
"learning_rate": 1.0646464646464647e-07,
|
| 1154 |
+
"loss": 0.1642,
|
| 1155 |
+
"step": 4475
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 13.8,
|
| 1159 |
+
"learning_rate": 1.0141414141414141e-07,
|
| 1160 |
+
"loss": 0.1693,
|
| 1161 |
+
"step": 4500
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 13.8,
|
| 1165 |
+
"eval_loss": 0.3983347713947296,
|
| 1166 |
+
"eval_runtime": 2686.1318,
|
| 1167 |
+
"eval_samples_per_second": 3.896,
|
| 1168 |
+
"eval_steps_per_second": 0.122,
|
| 1169 |
+
"eval_wer": 59.94622929557675,
|
| 1170 |
+
"step": 4500
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 13.88,
|
| 1174 |
+
"learning_rate": 9.636363636363636e-08,
|
| 1175 |
+
"loss": 0.1635,
|
| 1176 |
+
"step": 4525
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 13.96,
|
| 1180 |
+
"learning_rate": 9.131313131313132e-08,
|
| 1181 |
+
"loss": 0.1769,
|
| 1182 |
+
"step": 4550
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 14.03,
|
| 1186 |
+
"learning_rate": 8.626262626262626e-08,
|
| 1187 |
+
"loss": 0.1747,
|
| 1188 |
+
"step": 4575
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 14.11,
|
| 1192 |
+
"learning_rate": 8.12121212121212e-08,
|
| 1193 |
+
"loss": 0.1684,
|
| 1194 |
+
"step": 4600
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 14.19,
|
| 1198 |
+
"learning_rate": 7.616161616161616e-08,
|
| 1199 |
+
"loss": 0.1664,
|
| 1200 |
+
"step": 4625
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 14.26,
|
| 1204 |
+
"learning_rate": 7.111111111111111e-08,
|
| 1205 |
+
"loss": 0.1736,
|
| 1206 |
+
"step": 4650
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 14.34,
|
| 1210 |
+
"learning_rate": 6.606060606060605e-08,
|
| 1211 |
+
"loss": 0.1609,
|
| 1212 |
+
"step": 4675
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 14.42,
|
| 1216 |
+
"learning_rate": 6.101010101010101e-08,
|
| 1217 |
+
"loss": 0.1662,
|
| 1218 |
+
"step": 4700
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 14.49,
|
| 1222 |
+
"learning_rate": 5.5959595959595956e-08,
|
| 1223 |
+
"loss": 0.1746,
|
| 1224 |
+
"step": 4725
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 14.57,
|
| 1228 |
+
"learning_rate": 5.090909090909091e-08,
|
| 1229 |
+
"loss": 0.1677,
|
| 1230 |
+
"step": 4750
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 14.65,
|
| 1234 |
+
"learning_rate": 4.585858585858585e-08,
|
| 1235 |
+
"loss": 0.1674,
|
| 1236 |
+
"step": 4775
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 14.72,
|
| 1240 |
+
"learning_rate": 4.0808080808080803e-08,
|
| 1241 |
+
"loss": 0.168,
|
| 1242 |
+
"step": 4800
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 14.8,
|
| 1246 |
+
"learning_rate": 3.5757575757575755e-08,
|
| 1247 |
+
"loss": 0.1691,
|
| 1248 |
+
"step": 4825
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 14.88,
|
| 1252 |
+
"learning_rate": 3.0707070707070706e-08,
|
| 1253 |
+
"loss": 0.1641,
|
| 1254 |
+
"step": 4850
|
| 1255 |
+
},
|
| 1256 |
+
{
|
| 1257 |
+
"epoch": 14.95,
|
| 1258 |
+
"learning_rate": 2.5656565656565654e-08,
|
| 1259 |
+
"loss": 0.1678,
|
| 1260 |
+
"step": 4875
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 15.03,
|
| 1264 |
+
"learning_rate": 2.0606060606060606e-08,
|
| 1265 |
+
"loss": 0.1672,
|
| 1266 |
+
"step": 4900
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 15.11,
|
| 1270 |
+
"learning_rate": 1.5555555555555554e-08,
|
| 1271 |
+
"loss": 0.1656,
|
| 1272 |
+
"step": 4925
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 15.18,
|
| 1276 |
+
"learning_rate": 1.0505050505050505e-08,
|
| 1277 |
+
"loss": 0.1637,
|
| 1278 |
+
"step": 4950
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 15.26,
|
| 1282 |
+
"learning_rate": 5.454545454545455e-09,
|
| 1283 |
+
"loss": 0.1614,
|
| 1284 |
+
"step": 4975
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 15.34,
|
| 1288 |
+
"learning_rate": 4.0404040404040403e-10,
|
| 1289 |
+
"loss": 0.1616,
|
| 1290 |
+
"step": 5000
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 15.34,
|
| 1294 |
+
"eval_loss": 0.3983960449695587,
|
| 1295 |
+
"eval_runtime": 2696.9238,
|
| 1296 |
+
"eval_samples_per_second": 3.881,
|
| 1297 |
+
"eval_steps_per_second": 0.122,
|
| 1298 |
+
"eval_wer": 59.830041341295356,
|
| 1299 |
+
"step": 5000
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 15.34,
|
| 1303 |
+
"step": 5000,
|
| 1304 |
+
"total_flos": 9.22520949202944e+19,
|
| 1305 |
+
"train_loss": 0.23562390689849855,
|
| 1306 |
+
"train_runtime": 67707.284,
|
| 1307 |
+
"train_samples_per_second": 4.726,
|
| 1308 |
+
"train_steps_per_second": 0.074
|
| 1309 |
+
}
|
| 1310 |
+
],
|
| 1311 |
+
"logging_steps": 25,
|
| 1312 |
+
"max_steps": 5000,
|
| 1313 |
+
"num_input_tokens_seen": 0,
|
| 1314 |
+
"num_train_epochs": 16,
|
| 1315 |
+
"save_steps": 500,
|
| 1316 |
+
"total_flos": 9.22520949202944e+19,
|
| 1317 |
+
"train_batch_size": 32,
|
| 1318 |
+
"trial_name": null,
|
| 1319 |
+
"trial_params": null
|
| 1320 |
+
}
|