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End of training

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Files changed (2) hide show
  1. README.md +10 -11
  2. generation_config.json +13 -27
README.md CHANGED
@@ -2,8 +2,7 @@
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  library_name: transformers
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  language:
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  - fr
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- license: apache-2.0
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- base_model: openai/whisper-Tiny
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -11,7 +10,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: Whisper Tiny fr - Naji
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -25,19 +24,19 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 12.997234630929588
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Whisper Tiny fr - Naji
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- This model is a fine-tuned version of [openai/whisper-Tiny](https://huggingface.co/openai/whisper-Tiny) on the Common Voice 1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3040
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- - Wer Ortho: 23.5542
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- - Wer: 12.9972
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  ## Model description
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@@ -70,12 +69,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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- | 0.3183 | 0.2877 | 500 | 0.3040 | 23.5542 | 12.9972 |
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  ### Framework versions
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- - Transformers 4.51.3
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  - Pytorch 2.6.0+cu124
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  - Datasets 2.14.6
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  - Tokenizers 0.21.1
 
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  library_name: transformers
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  language:
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  - fr
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+ base_model: openai/whisper-tiny_2_
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper tiny fr _2_ Naji
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  results:
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  - task:
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  name: Automatic Speech Recognition
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 32.53961922995107
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper tiny fr _2_ Naji
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+ This model is a fine-tuned version of [openai/whisper-tiny_2_](https://huggingface.co/openai/whisper-tiny_2_) on the Common Voice 1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5924
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+ - Wer Ortho: 41.9920
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+ - Wer: 32.5396
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.6189 | 0.2877 | 500 | 0.5924 | 41.9920 | 32.5396 |
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  ### Framework versions
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+ - Transformers 4.52.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 2.14.6
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  - Tokenizers 0.21.1
generation_config.json CHANGED
@@ -1,43 +1,27 @@
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  {
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  "alignment_heads": [
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  [
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  [
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@@ -250,6 +234,8 @@
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  49870,
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  50254,
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  50258,
 
 
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  50360,
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  50361,
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  50362
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.51.3"
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  }
 
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  {
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  "alignment_heads": [
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  [
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+ 2,
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  [
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  [
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  [
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  [
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  49870,
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  50254,
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  50258,
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+ 50358,
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+ 50359,
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  50360,
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  50361,
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  50362
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.52.2"
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  }