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first_model

Text2Text Generation
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hadycht/first_model

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  1. README.md +2 -2
  2. model.safetensors +1 -1
  3. runs/Mar30_15-16-05_3fc3e27120f5/events.out.tfevents.1711811771.3fc3e27120f5.4132.1 +3 -0
  4. runs/Mar30_15-20-04_3fc3e27120f5/events.out.tfevents.1711812008.3fc3e27120f5.4132.2 +3 -0
  5. runs/Mar30_15-21-45_3fc3e27120f5/events.out.tfevents.1711812107.3fc3e27120f5.4132.3 +3 -0
  6. runs/Mar30_15-21-45_3fc3e27120f5/events.out.tfevents.1711812219.3fc3e27120f5.4132.4 +3 -0
  7. runs/Mar30_15-24-30_3fc3e27120f5/events.out.tfevents.1711812279.3fc3e27120f5.4132.5 +3 -0
  8. tokenizer.json +2 -2
  9. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2317
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  ## Model description
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.2238 | 1.0 | 54 | 0.2317 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7274
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7907 | 1.0 | 54 | 2.7274 |
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  ### Framework versions
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