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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- accuracy |
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base_model: facebook/opt-350m |
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model-index: |
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- name: opt-350m-pattern-based_finetuning_with_lora-mnli-mm-d2_fs2 |
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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-pattern-based_finetuning_with_lora-mnli-mm-d2_fs2 |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6652 |
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- Accuracy: 0.5311 |
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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-06 |
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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: 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: 5 |
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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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| 2.0281 | 1.0 | 1 | 1.6700 | 0.5308 | |
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| 2.0279 | 2.0 | 2 | 1.6672 | 0.5310 | |
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| 2.075 | 3.0 | 3 | 1.6652 | 0.5311 | |
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| 1.8838 | 4.0 | 4 | 1.6638 | 0.5311 | |
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| 2.1792 | 5.0 | 5 | 1.6631 | 0.5311 | |
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### Framework versions |
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- PEFT 0.7.1.dev0 |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
