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--- |
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license: other |
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base_model: varun-v-rao/opt-350m-fp-sick |
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tags: |
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- generated_from_trainer |
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datasets: |
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- snli |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-350m-fp-sick-lora-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: snli |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8440357650883966 |
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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-fp-sick-lora-snli-model1 |
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This model is a fine-tuned version of [varun-v-rao/opt-350m-fp-sick](https://huggingface.co/varun-v-rao/opt-350m-fp-sick) on the snli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4156 |
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- Accuracy: 0.8440 |
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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: 128 |
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- eval_batch_size: 64 |
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- seed: 8 |
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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: 1 |
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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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| 0.4823 | 1.0 | 4292 | 0.4156 | 0.8440 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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