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gpt2-small-german-finetune-oscar-finetuned

Text Generation
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gpt2
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text-generation-inference
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Training completed for 6@lr:1e-05!

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Feb21_22-21-16_7ae86bb689ec/events.out.tfevents.1708554091.7ae86bb689ec.16399.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.6147
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0005
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4.1666 | 1.0 | 210 | 4.2622 |
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- | 3.1732 | 2.0 | 420 | 4.3527 |
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- | 2.3188 | 3.0 | 630 | 4.6424 |
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- | 1.7614 | 4.0 | 840 | 5.0776 |
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- | 1.5433 | 5.0 | 1050 | 5.4150 |
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- | 1.5366 | 6.0 | 1260 | 5.6147 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.8729
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7388 | 1.0 | 210 | 5.7127 |
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+ | 0.6451 | 2.0 | 420 | 5.7653 |
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+ | 0.3591 | 3.0 | 630 | 5.8154 |
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+ | 0.3574 | 4.0 | 840 | 5.8520 |
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+ | 0.6094 | 5.0 | 1050 | 5.8755 |
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+ | 1.5115 | 6.0 | 1260 | 5.8729 |
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  ### Framework versions
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