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End of training

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README.md CHANGED
@@ -19,13 +19,11 @@ model-index:
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  dataset:
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  name: Common Voice 17.0
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  type: mozilla-foundation/common_voice_17_0
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- config: lo
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- split: test
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  args: 'config: hi, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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- value: 102.22222222222221
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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
@@ -35,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.3614
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- - Wer: 102.2222
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  ## Model description
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@@ -67,18 +65,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:--------:|:----:|:---------------:|:--------:|
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- | 0.0128 | 58.8235 | 1000 | 1.0955 | 105.5556 |
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- | 0.0 | 117.6471 | 2000 | 1.1223 | 107.7778 |
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- | 0.0 | 176.4706 | 3000 | 1.2173 | 103.3333 |
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- | 0.0 | 235.2941 | 4000 | 1.3229 | 101.1111 |
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- | 0.0 | 294.1176 | 5000 | 1.3614 | 102.2222 |
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  ### Framework versions
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  - Transformers 4.49.0
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- - Pytorch 2.5.1+cu124
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- - Datasets 3.3.1
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  - Tokenizers 0.21.0
 
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  dataset:
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  name: Common Voice 17.0
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  type: mozilla-foundation/common_voice_17_0
 
 
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  args: 'config: hi, split: test'
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 27.397260273972602
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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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  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: 0.4486
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+ - Wer: 27.3973
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:--------:|:----:|:---------------:|:-------:|
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+ | 0.0071 | 20.8333 | 1000 | 0.3643 | 43.8356 |
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+ | 0.0013 | 41.6667 | 2000 | 0.3832 | 36.9863 |
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+ | 0.0 | 62.5 | 3000 | 0.4228 | 27.3973 |
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+ | 0.0 | 83.3333 | 4000 | 0.4416 | 27.3973 |
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+ | 0.0 | 104.1667 | 5000 | 0.4486 | 27.3973 |
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  ### Framework versions
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  - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.3.2
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  - Tokenizers 0.21.0
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