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End of training

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  1. README.md +16 -15
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
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:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 32.99881936245573
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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: 0.8597
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- - Wer Ortho: 32.7576
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- - Wer: 32.9988
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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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- | 0.0007 | 17.2414 | 500 | 0.6479 | 32.3874 | 32.3495 |
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- | 0.0002 | 34.4828 | 1000 | 0.7071 | 32.8809 | 32.9988 |
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- | 0.0001 | 51.7241 | 1500 | 0.7428 | 32.7576 | 32.9988 |
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- | 0.0001 | 68.9655 | 2000 | 0.7709 | 32.6959 | 32.9398 |
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- | 0.0 | 86.2069 | 2500 | 0.7948 | 32.7576 | 33.0579 |
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- | 0.0 | 103.4483 | 3000 | 0.8179 | 33.0043 | 33.2349 |
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- | 0.0 | 120.6897 | 3500 | 0.8392 | 32.9426 | 33.1759 |
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- | 0.0 | 137.9310 | 4000 | 0.8597 | 32.7576 | 32.9988 |
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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: 0.33766233766233766
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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: 0.8729
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+ - Wer Ortho: 0.3344
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+ - Wer: 0.3377
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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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+ | 0.0006 | 17.8571 | 500 | 0.6617 | 0.3251 | 0.3264 |
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+ | 0.0002 | 35.7143 | 1000 | 0.7217 | 0.3257 | 0.3270 |
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+ | 0.0001 | 53.5714 | 1500 | 0.7577 | 0.3226 | 0.3247 |
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+ | 0.0001 | 71.4286 | 2000 | 0.7870 | 0.3337 | 0.3347 |
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+ | 0.0 | 89.2857 | 2500 | 0.8109 | 0.3325 | 0.3341 |
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+ | 0.0 | 107.1429 | 3000 | 0.8329 | 0.3356 | 0.3377 |
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+ | 0.0 | 125.0 | 3500 | 0.8529 | 0.3344 | 0.3371 |
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+ | 0.0 | 142.8571 | 4000 | 0.8729 | 0.3344 | 0.3377 |
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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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  }
model.safetensors CHANGED
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