llama2-7b-chat-guanaco-llama2-1k-unsloth-w-packing-v1
This model is a fine-tuned version of unsloth/llama-2-7b-chat-bnb-4bit on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2624
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: 0.0002
- train_batch_size: 6
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3985 | 1.0 | 26 | 1.3003 |
| 1.2554 | 2.0 | 52 | 1.2721 |
| 1.2094 | 3.0 | 78 | 1.2624 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.2.dev0
- Tokenizers 0.15.2
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Model tree for DrishtiSharma/llama2-7b-chat-guanaco-1k-qa-unsloth-w-packing
Base model
unsloth/llama-2-7b-chat-bnb-4bit