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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wikitext |
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model-index: |
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- name: opt-350m-wikitext2 |
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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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# opt-350m-wikitext2 |
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This model is a fine-tuned version of facebook/opt-350m on the wikitext wikitext-2-raw-v1 dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 2.8211 |
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- eval_accuracy: 0.4601 |
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- eval_runtime: 17.895 |
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- eval_samples_per_second: 13.579 |
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- eval_steps_per_second: 6.818 |
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- step: 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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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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: 3.0 |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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