End of training
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README.md
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---
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library_name: transformers
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license: mit
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base_model: openai-community/gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt-finetuned-newspapers-hmd
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results: []
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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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# gpt-finetuned-newspapers-hmd
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2352
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 4.5261 | 1.0 | 9090 | 4.3209 |
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| 4.3392 | 2.0 | 18180 | 4.2527 |
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| 4.2805 | 3.0 | 27270 | 4.2352 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.44.2"
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}
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runs/Sep18_12-57-49_573de643024d/events.out.tfevents.1726664295.573de643024d.666.0
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size
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version https://git-lfs.github.com/spec/v1
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size 7018
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