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End of training

Browse files
README.md CHANGED
@@ -1,10 +1,10 @@
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  ---
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- base_model: openai/whisper-tiny
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  license: apache-2.0
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- metrics:
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- - wer
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: whisper-tinyfinacialKI100
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  results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5189
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- - Wer: 48.8764
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  ## Model description
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@@ -48,16 +48,16 @@ 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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- | No log | 3.8462 | 50 | 0.8094 | 68.5393 |
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- | No log | 7.6923 | 100 | 0.5199 | 56.7416 |
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- | No log | 11.5385 | 150 | 0.5140 | 44.3820 |
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- | No log | 15.3846 | 200 | 0.5077 | 50.5618 |
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- | No log | 19.2308 | 250 | 0.5137 | 48.3146 |
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- | No log | 23.0769 | 300 | 0.5167 | 48.8764 |
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- | No log | 26.9231 | 350 | 0.5182 | 48.8764 |
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- | No log | 30.7692 | 400 | 0.5189 | 48.8764 |
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  ### Framework versions
 
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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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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-tinyfinacialKI100
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  results: []
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5053
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+ - Wer: 46.0674
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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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+ | No log | 0.3759 | 50 | 0.9258 | 67.9775 |
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+ | No log | 0.7519 | 100 | 0.7255 | 64.0449 |
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+ | No log | 1.1278 | 150 | 0.5674 | 50.5618 |
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+ | No log | 1.5038 | 200 | 0.5488 | 49.4382 |
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+ | No log | 1.8797 | 250 | 0.5293 | 49.4382 |
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+ | No log | 2.2556 | 300 | 0.5152 | 46.6292 |
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+ | No log | 2.6316 | 350 | 0.5011 | 43.8202 |
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+ | No log | 3.0075 | 400 | 0.5053 | 46.0674 |
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  ### Framework versions
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