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Training completed for 6@lr:0.0001!

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README.md ADDED
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+ ---
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+ base_model: ml6team/gpt2-small-german-finetune-oscar
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ml6team-gpt2-small-german-finetune-oscar-1file
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ml6team-gpt2-small-german-finetune-oscar-1file
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+
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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: 3.5331
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 6
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4429 | 1.0 | 257 | 3.5679 |
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+ | 3.3122 | 2.0 | 514 | 3.5112 |
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+ | 3.3409 | 3.0 | 771 | 3.5015 |
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+ | 3.0541 | 4.0 | 1028 | 3.5065 |
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+ | 2.9332 | 5.0 | 1285 | 3.5201 |
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+ | 2.4331 | 6.0 | 1542 | 3.5331 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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