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End of training

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  1. README.md +32 -12
  2. generation_config.json +1 -1
README.md CHANGED
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  ---
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- library_name: transformers
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  language:
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  - or
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  license: apache-2.0
@@ -8,9 +7,24 @@ 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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  model-index:
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  - name: Whisper Small Or- Mudit Sharma
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -20,13 +34,8 @@ 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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- - eval_loss: 0.2320
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- - eval_wer: 54.4920
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- - eval_runtime: 631.1053
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- - eval_samples_per_second: 1.103
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- - eval_steps_per_second: 0.138
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- - epoch: 7.8125
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- - step: 1000
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  ## Model description
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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- - Transformers 4.44.2
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- - Pytorch 2.4.1+cu121
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- - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  ---
 
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  language:
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  - or
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  license: apache-2.0
 
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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: Whisper Small Or- Mudit Sharma
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+ results:
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+ - task:
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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: mozilla-foundation/common_voice_17_0
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+ config: or
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+ split: None
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+ args: 'config: or, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 52.426532325776655
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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: 0.3656
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+ - Wer: 52.4265
 
 
 
 
 
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  ## Model description
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 0.0192 | 7.8125 | 1000 | 0.2476 | 56.1209 |
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+ | 0.0011 | 15.625 | 2000 | 0.2956 | 52.8128 |
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+ | 0.0001 | 23.4375 | 3000 | 0.3320 | 52.6616 |
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+ | 0.0 | 31.25 | 4000 | 0.3582 | 52.6280 |
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+ | 0.0 | 39.0625 | 5000 | 0.3656 | 52.4265 |
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+
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+
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  ### Framework versions
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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  - Tokenizers 0.19.1
generation_config.json CHANGED
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.44.2"
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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": "4.44.0"
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  }