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End of training

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  1. README.md +12 -12
  2. generation_config.json +1 -1
README.md CHANGED
@@ -12,7 +12,7 @@ datasets:
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-small-finetuned-translation-common-voice-mr
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  results:
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  - task:
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  name: Automatic Speech Recognition
@@ -26,19 +26,19 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 17.817506151760156
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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-small-finetuned-translation-common-voice-mr
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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 13.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2483
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- - Wer Ortho: 43.9028
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- - Wer: 17.8175
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  ## Model description
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@@ -61,7 +61,7 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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  - training_steps: 500
@@ -71,12 +71,12 @@ 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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- | 0.182 | 1.1737 | 500 | 0.2483 | 43.9028 | 17.8175 |
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  ### Framework versions
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- - Transformers 4.45.1
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- - Pytorch 2.4.0
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- - Datasets 3.0.1
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- - Tokenizers 0.20.0
 
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  metrics:
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  - wer
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  model-index:
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+ - name: whisper-small-finetuned-common-voice-mr-2.1
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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: 17.93049766484206
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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-small-finetuned-common-voice-mr-2.1
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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 13.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2478
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+ - Wer Ortho: 44.0374
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+ - Wer: 17.9305
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  ## Model description
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 50
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  - training_steps: 500
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.1802 | 1.1737 | 500 | 0.2478 | 44.0374 | 17.9305 |
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  ### Framework versions
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
generation_config.json CHANGED
@@ -171,5 +171,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.45.1"
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  }
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.46.2"
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  }