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README.md
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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: text_classification_gpt2
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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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# text_classification_gpt2
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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: 0.3501
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- Accuracy: 0.9052
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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: 4
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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: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 1
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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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| 0.0308 | 0.1 | 625 | 0.5502 | 0.8852 |
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| 1.6669 | 0.2 | 1250 | 0.3501 | 0.9052 |
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| 1.9326 | 0.3 | 1875 | 0.4868 | 0.9 |
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| 1.2678 | 0.4 | 2500 | 0.3823 | 0.9028 |
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| 0.0015 | 0.5 | 3125 | 0.4167 | 0.8964 |
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| 2.5243 | 0.6 | 3750 | 0.3938 | 0.9152 |
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| 0.531 | 0.7 | 4375 | 0.3512 | 0.9156 |
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| 0.0027 | 0.8 | 5000 | 0.3806 | 0.9148 |
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| 1.1369 | 0.9 | 5625 | 0.3543 | 0.9264 |
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| 0.0667 | 1.0 | 6250 | 0.3502 | 0.9272 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 497780432
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version https://git-lfs.github.com/spec/v1
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size 497780432
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