opt-350m-fp-sick-lora-snli-model1
This model is a fine-tuned version of varun-v-rao/opt-350m-fp-sick on the snli dataset. It achieves the following results on the evaluation set:
- Loss: 0.4156
- Accuracy: 0.8440
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 128
- eval_batch_size: 64
- seed: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4823 | 1.0 | 4292 | 0.4156 | 0.8440 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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