End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: openai-gpt
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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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- recall
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- precision
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model-index:
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- name: gpt1_sst2_left
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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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# gpt1_sst2_left
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This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4150
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- Accuracy: 0.9266
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- Recall: 0.9437
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- Precision: 0.9148
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|
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| 0.2083 | 1.0 | 4210 | 0.2243 | 0.9266 | 0.9279 | 0.9279 |
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| 0.1495 | 2.0 | 8420 | 0.3193 | 0.9300 | 0.9505 | 0.9154 |
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| 0.0859 | 3.0 | 12630 | 0.3456 | 0.9255 | 0.9369 | 0.9183 |
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| 0.0605 | 4.0 | 16840 | 0.4150 | 0.9266 | 0.9437 | 0.9148 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 466163240
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version https://git-lfs.github.com/spec/v1
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size 466163240
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