llama-7b-SFT_eli5_wiki_1024_r_64_alpha_16
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4181
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6675 | 0.3 | 250 | 1.4375 |
| 1.6173 | 0.6 | 500 | 1.4273 |
| 1.6354 | 0.9 | 750 | 1.4203 |
| 1.5581 | 1.2 | 1000 | 1.4196 |
| 1.5457 | 1.5 | 1250 | 1.4181 |
| 1.5163 | 1.8 | 1500 | 1.4226 |
| 1.1897 | 2.1 | 1750 | 1.4271 |
| 1.1486 | 2.4 | 2000 | 1.4261 |
| 1.1757 | 2.7 | 2250 | 1.4270 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
Model tree for dhmeltzer/llama-7b-SFT_eli5_wiki65k_1024_r_64_alpha_16
Base model
meta-llama/Llama-2-7b-hf