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README.md
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---
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base_model: jerteh/gpt2-orao
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: ORAOFROZENPOS0
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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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# ORAOFROZENPOS0
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This model is a fine-tuned version of [jerteh/gpt2-orao](https://huggingface.co/jerteh/gpt2-orao) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0789
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- F1: 0.0
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:---:|
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| 0.0771 | 1.0 | 2666 | 0.0798 | 0.0 |
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| 0.0769 | 2.0 | 5332 | 0.0802 | 0.0 |
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| 0.0437 | 3.0 | 7998 | 0.0790 | 0.0 |
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| 0.0875 | 4.0 | 10665 | 0.0798 | 0.0 |
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| 0.0531 | 5.0 | 13331 | 0.0789 | 0.0 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.2.0.dev20230928
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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