llama2-7b-chat-guanaco-llama2-1k-flashatn2-without-packing
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2834
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 1.3135 | 1.0 | 410 | 1.2490 |
| 1.117 | 2.0 | 820 | 1.2548 |
| 0.9591 | 3.0 | 1230 | 1.2834 |
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-flashatn2-without-packing
Base model
NousResearch/Llama-2-7b-chat-hf