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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: GPT-2-Base
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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-2-Base
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4397
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- Accuracy: 0.5
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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: 5e-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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 44 | 1.8580 | 0.2598 |
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| No log | 2.0 | 88 | 1.7766 | 0.2745 |
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| No log | 3.0 | 132 | 1.6079 | 0.4069 |
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| No log | 4.0 | 176 | 1.4671 | 0.5098 |
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| No log | 5.0 | 220 | 1.5152 | 0.4804 |
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| No log | 6.0 | 264 | 1.4397 | 0.5 |
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| No log | 7.0 | 308 | 1.4590 | 0.5098 |
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| No log | 8.0 | 352 | 1.5410 | 0.5049 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0+cu124
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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