sheared-llama-test
This model is a fine-tuned version of princeton-nlp/Sheared-LLaMA-1.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8278
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: 0.01
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0872 | 1.0 | 778 | 4.0301 |
| 4.0179 | 2.0 | 1556 | 3.8278 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for deepakkoli93/sheared-llama-test
Base model
princeton-nlp/Sheared-LLaMA-1.3B