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End of training

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README.md CHANGED
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  ---
 
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  license: apache-2.0
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  base_model: openai/whisper-tiny
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  tags:
@@ -22,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.3382526564344746
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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
@@ -32,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7795
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- - Wer Ortho: 0.3368
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- - Wer: 0.3383
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  ## Model description
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@@ -65,21 +66,17 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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- |:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|
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- | 0.0007 | 17.8571 | 500 | 0.6344 | 0.3226 | 0.3253 |
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- | 0.0002 | 35.7143 | 1000 | 0.6878 | 0.3313 | 0.3335 |
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- | 0.0001 | 53.5714 | 1500 | 0.7186 | 0.3344 | 0.3359 |
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- | 0.0001 | 71.4286 | 2000 | 0.7409 | 0.3344 | 0.3359 |
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- | 0.0001 | 89.2857 | 2500 | 0.7565 | 0.3331 | 0.3347 |
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- | 0.0001 | 107.1429 | 3000 | 0.7684 | 0.3368 | 0.3383 |
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- | 0.0 | 125.0 | 3500 | 0.7763 | 0.3374 | 0.3388 |
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- | 0.0 | 142.8571 | 4000 | 0.7795 | 0.3368 | 0.3383 |
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  ### Framework versions
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- - Transformers 4.42.4
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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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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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.33412042502951594
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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-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6374
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+ - Wer Ortho: 0.3313
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+ - Wer: 0.3341
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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+ | 0.0011 | 17.8571 | 500 | 0.6374 | 0.3313 | 0.3341 |
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+ | 0.0002 | 35.7143 | 1000 | 0.6906 | 0.3344 | 0.3377 |
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+ | 0.0001 | 53.5714 | 1500 | 0.7214 | 0.3350 | 0.3377 |
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+ | 0.0001 | 71.4286 | 2000 | 0.7428 | 0.3356 | 0.3388 |
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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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": "4.42.4"
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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": "4.44.2"
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  }
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