Bagus commited on
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ec2d41d
1 Parent(s): 0f92b3c

End of training

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Files changed (5) hide show
  1. README.md +4 -4
  2. all_results.json +11 -11
  3. eval_results.json +6 -6
  4. train_results.json +6 -6
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -4,7 +4,7 @@ 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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  metrics:
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  - wer
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  model-index:
@@ -14,8 +14,8 @@ model-index:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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- name: common_voice_17_0
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- type: common_voice_17_0
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  config: id
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  split: None
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  args: id
@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-small-id
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- 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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  It achieves the following results on the evaluation set:
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  - Loss: 0.0878
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  - Wer: 0.0590
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - mozilla-foundation/common_voice_17_0
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  metrics:
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  - wer
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  model-index:
 
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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+ name: mozilla-foundation/common_voice_17_0 id
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+ type: mozilla-foundation/common_voice_17_0
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  config: id
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  split: None
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  args: id
 
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  # whisper-small-id
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+ 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 id dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0878
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  - Wer: 0.0590
all_results.json CHANGED
@@ -1,15 +1,15 @@
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  {
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- "epoch": 19.23076923076923,
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- "eval_loss": 0.35056987404823303,
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- "eval_runtime": 413.2463,
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  "eval_samples": 3641,
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- "eval_samples_per_second": 8.811,
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- "eval_steps_per_second": 0.552,
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- "eval_wer": 0.16172444196946495,
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- "total_flos": 4.616818092859392e+19,
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- "train_loss": 0.05540717707388103,
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- "train_runtime": 18195.7149,
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- "train_samples": 8319,
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- "train_samples_per_second": 8.793,
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  "train_steps_per_second": 0.275
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  }
 
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  {
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+ "epoch": 16.913319238900634,
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+ "eval_loss": 0.08780684322118759,
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+ "eval_runtime": 417.4654,
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  "eval_samples": 3641,
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+ "eval_samples_per_second": 8.722,
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+ "eval_steps_per_second": 0.546,
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+ "eval_wer": 0.05902826117221217,
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+ "total_flos": 1.8463463044153344e+20,
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+ "train_loss": 0.02644415222366224,
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+ "train_runtime": 72777.8888,
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+ "train_samples": 37827,
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+ "train_samples_per_second": 8.794,
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  "train_steps_per_second": 0.275
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  }
eval_results.json CHANGED
@@ -1,9 +1,9 @@
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  {
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- "epoch": 19.23076923076923,
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- "eval_loss": 0.35056987404823303,
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- "eval_runtime": 413.2463,
5
  "eval_samples": 3641,
6
- "eval_samples_per_second": 8.811,
7
- "eval_steps_per_second": 0.552,
8
- "eval_wer": 0.16172444196946495
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  }
 
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  {
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+ "epoch": 16.913319238900634,
3
+ "eval_loss": 0.08780684322118759,
4
+ "eval_runtime": 417.4654,
5
  "eval_samples": 3641,
6
+ "eval_samples_per_second": 8.722,
7
+ "eval_steps_per_second": 0.546,
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+ "eval_wer": 0.05902826117221217
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  }
train_results.json CHANGED
@@ -1,9 +1,9 @@
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  {
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- "epoch": 19.23076923076923,
3
- "total_flos": 4.616818092859392e+19,
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- "train_loss": 0.05540717707388103,
5
- "train_runtime": 18195.7149,
6
- "train_samples": 8319,
7
- "train_samples_per_second": 8.793,
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  "train_steps_per_second": 0.275
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  }
 
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  {
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+ "epoch": 16.913319238900634,
3
+ "total_flos": 1.8463463044153344e+20,
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+ "train_loss": 0.02644415222366224,
5
+ "train_runtime": 72777.8888,
6
+ "train_samples": 37827,
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+ "train_samples_per_second": 8.794,
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  "train_steps_per_second": 0.275
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  }
trainer_state.json CHANGED
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