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--- |
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license: other |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: ov-opt-350m-fp32-kv-cache |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: wikitext wikitext-2-raw-v1 |
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type: wikitext |
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config: wikitext-2-raw-v1 |
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split: validation |
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args: wikitext-2-raw-v1 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.1335940045617465 |
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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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# ov-opt-350m-fp32-kv-cache |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/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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- Loss: 6.2368 |
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- Accuracy: 0.1336 |
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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: 8 |
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- eval_batch_size: 1 |
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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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- training_steps: 1 |
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### Training results |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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