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--- |
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license: mit |
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base_model: openai-community/gpt2-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- stanfordnlp/snli |
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metrics: |
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- accuracy |
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model-index: |
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- name: gpt2-large-bn-adapter-7.42M-snli-model1 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: snli |
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type: stanfordnlp/snli |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8999187157081894 |
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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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# gpt2-large-bn-adapter-7.42M-snli-model1 |
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This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the snli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2789 |
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- Accuracy: 0.8999 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 23 |
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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 |
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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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| 0.3594 | 1.0 | 17168 | 0.3009 | 0.8894 | |
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| 0.3278 | 2.0 | 34336 | 0.2831 | 0.8967 | |
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| 0.3089 | 3.0 | 51504 | 0.2789 | 0.8999 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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