llama2-7b-int4-dolly-15k-english-unsloth-neftune-packing
This model is a fine-tuned version of unsloth/llama-2-7b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.2198
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 |
|---|---|---|---|
| 1.2668 | 0.64 | 100 | 1.2312 |
| 1.1935 | 1.27 | 200 | 1.2221 |
| 1.1722 | 1.91 | 300 | 1.2176 |
| 1.145 | 2.55 | 400 | 1.2198 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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Model tree for DrishtiSharma/llama2-7b-int4-dolly-15k-english-unsloth-neftune-5-packing
Base model
unsloth/llama-2-7b