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Mithil
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gpt2

Text Generation
Transformers
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Safetensors
gpt2
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +21 -21
  2. model.safetensors +1 -1
  3. runs/May21_09-50-09_e261ca047b2e/events.out.tfevents.1716285014.e261ca047b2e.34.4 +3 -0
  4. 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 [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6477
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  ## Model description
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@@ -48,26 +48,26 @@ 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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- | No log | 0.98 | 6 | 10.0906 |
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- | 9.1486 | 1.96 | 12 | 6.7033 |
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- | 9.1486 | 2.94 | 18 | 5.8931 |
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- | 6.8583 | 3.92 | 24 | 5.6861 |
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- | 6.6191 | 4.9 | 30 | 5.6068 |
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- | 6.6191 | 5.88 | 36 | 5.5426 |
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- | 6.3742 | 6.86 | 42 | 5.4848 |
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- | 6.3742 | 8.0 | 49 | 5.3937 |
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- | 6.3911 | 8.98 | 55 | 5.3093 |
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- | 6.3445 | 9.96 | 61 | 5.2252 |
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- | 6.3445 | 10.94 | 67 | 5.1060 |
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- | 6.1275 | 11.92 | 73 | 4.9838 |
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- | 6.1275 | 12.9 | 79 | 4.8939 |
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- | 6.108 | 13.88 | 85 | 4.8286 |
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- | 5.9782 | 14.86 | 91 | 4.7518 |
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- | 5.9782 | 16.0 | 98 | 4.7024 |
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- | 5.9191 | 16.98 | 104 | 4.6739 |
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- | 5.869 | 17.96 | 110 | 4.6599 |
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- | 5.869 | 18.94 | 116 | 4.6488 |
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- | 5.7407 | 19.59 | 120 | 4.6477 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.3524
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.98 | 6 | 8.2912 |
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+ | 9.0416 | 1.96 | 12 | 6.3294 |
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+ | 9.0416 | 2.94 | 18 | 5.7787 |
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+ | 6.7966 | 3.92 | 24 | 5.4608 |
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+ | 6.5563 | 4.9 | 30 | 5.3249 |
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+ | 6.5563 | 5.88 | 36 | 5.1962 |
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+ | 6.2756 | 6.86 | 42 | 5.1209 |
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+ | 6.2756 | 8.0 | 49 | 4.9701 |
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+ | 6.3126 | 8.98 | 55 | 4.8793 |
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+ | 6.237 | 9.96 | 61 | 4.7837 |
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+ | 6.237 | 10.94 | 67 | 4.7102 |
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+ | 5.9722 | 11.92 | 73 | 4.5721 |
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+ | 5.9722 | 12.9 | 79 | 4.5170 |
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+ | 5.9883 | 13.88 | 85 | 4.4562 |
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+ | 5.8828 | 14.86 | 91 | 4.4168 |
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+ | 5.8828 | 16.0 | 98 | 4.3880 |
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+ | 5.8493 | 16.98 | 104 | 4.3684 |
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+ | 5.8112 | 17.96 | 110 | 4.3570 |
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+ | 5.8112 | 18.94 | 116 | 4.3528 |
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+ | 5.6628 | 19.59 | 120 | 4.3524 |
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  ### Framework versions
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