gpt2-large-lora-2.95M-snli-model3
This model is a fine-tuned version of openai-community/gpt2-large on the snli dataset. It achieves the following results on the evaluation set:
- Loss: 0.3273
- Accuracy: 0.8773
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: 128
- seed: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4334 | 1.0 | 4292 | 0.3554 | 0.8650 |
| 0.4033 | 2.0 | 8584 | 0.3342 | 0.8749 |
| 0.3916 | 3.0 | 12876 | 0.3273 | 0.8773 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for varun-v-rao/gpt2-large-lora-2.95M-snli-model3
Base model
openai-community/gpt2-large