End of training
Browse files- README.md +9 -6
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep28_04-43-37_c54d50ae23c8/events.out.tfevents.1727517913.c54d50ae23c8.578.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1487 -0
README.md
CHANGED
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@@ -1,21 +1,24 @@
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| 1 |
---
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| 2 |
license: apache-2.0
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| 3 |
base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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-
- common_voice_17_0
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| 8 |
metrics:
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| 9 |
- wer
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| 10 |
model-index:
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| 11 |
-
- name:
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| 12 |
results:
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| 13 |
- task:
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| 14 |
name: Automatic Speech Recognition
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| 15 |
type: automatic-speech-recognition
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| 16 |
dataset:
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-
name: common_voice_17_0
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| 18 |
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type: common_voice_17_0
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config: fr
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split: test
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| 21 |
args: fr
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@@ -28,9 +31,9 @@ model-index:
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| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 29 |
should probably proofread and complete it, then remove this comment. -->
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| 30 |
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| 31 |
-
#
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| 32 |
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| 33 |
-
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
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| 34 |
It achieves the following results on the evaluation set:
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| 35 |
- Loss: 0.3092
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| 36 |
- Wer: 15.0158
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| 1 |
---
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| 2 |
+
language:
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| 3 |
+
- fr
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| 4 |
license: apache-2.0
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| 5 |
base_model: openai/whisper-small
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| 6 |
tags:
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| 7 |
+
- whisper-event
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| 8 |
- generated_from_trainer
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| 9 |
datasets:
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| 10 |
+
- mozilla-foundation/common_voice_17_0
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| 11 |
metrics:
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| 12 |
- wer
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| 13 |
model-index:
|
| 14 |
+
- name: Whisper Small Mixed-French
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| 15 |
results:
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| 16 |
- task:
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| 17 |
name: Automatic Speech Recognition
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| 18 |
type: automatic-speech-recognition
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| 19 |
dataset:
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| 20 |
+
name: mozilla-foundation/common_voice_17_0 fr
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| 21 |
+
type: mozilla-foundation/common_voice_17_0
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| 22 |
config: fr
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| 23 |
split: test
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| 24 |
args: fr
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|
| 31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 32 |
should probably proofread and complete it, then remove this comment. -->
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| 33 |
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| 34 |
+
# Whisper Small Mixed-French
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| 35 |
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| 36 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 fr dataset.
|
| 37 |
It achieves the following results on the evaluation set:
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| 38 |
- Loss: 0.3092
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| 39 |
- Wer: 15.0158
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 1.0,
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| 3 |
+
"eval_loss": 0.3092347979545593,
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| 4 |
+
"eval_runtime": 717.5338,
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| 5 |
+
"eval_samples_per_second": 22.52,
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| 6 |
+
"eval_steps_per_second": 2.815,
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| 7 |
+
"eval_wer": 15.015790814663829,
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| 8 |
+
"total_flos": 9.23473281024e+19,
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| 9 |
+
"train_loss": 0.1970298689365387,
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| 10 |
+
"train_runtime": 18494.1427,
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| 11 |
+
"train_samples_per_second": 17.303,
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| 12 |
+
"train_steps_per_second": 0.27
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| 13 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 1.0,
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+
"eval_loss": 0.3092347979545593,
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| 4 |
+
"eval_runtime": 717.5338,
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| 5 |
+
"eval_samples_per_second": 22.52,
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| 6 |
+
"eval_steps_per_second": 2.815,
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| 7 |
+
"eval_wer": 15.015790814663829
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}
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runs/Sep28_04-43-37_c54d50ae23c8/events.out.tfevents.1727517913.c54d50ae23c8.578.1
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:22ec3237d041b81bf82d476037c86b584effa44e86a7977e61923464d2cbb765
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+
size 406
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train_results.json
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{
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"epoch": 1.0,
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+
"total_flos": 9.23473281024e+19,
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| 4 |
+
"train_loss": 0.1970298689365387,
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| 5 |
+
"train_runtime": 18494.1427,
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| 6 |
+
"train_samples_per_second": 17.303,
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| 7 |
+
"train_steps_per_second": 0.27
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| 8 |
+
}
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trainer_state.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 15.015790814663829,
|
| 3 |
+
"best_model_checkpoint": "./whisper-small-mix-fr/checkpoint-5000",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 5000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.005,
|
| 13 |
+
"grad_norm": 10.08858585357666,
|
| 14 |
+
"learning_rate": 4.6000000000000004e-07,
|
| 15 |
+
"loss": 0.9513,
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