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README.md
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---
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base_model: openai-community/gpt2-xl
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library_name: peft
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: 8-clusters-balanced-lex-best-1
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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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# 8-clusters-balanced-lex-best-1
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This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4762
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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: 2
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 288
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- num_epochs: 1
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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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| 1.8258 | 1.0 | 2888 | 1.4762 |
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.1
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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