output_llama2_instruct
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset.
It achieves the following results on the evaluation set:
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 20
- training_steps: 500
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 1.9193 |
0.0 |
20 |
1.8124 |
| 1.8847 |
0.01 |
40 |
1.7835 |
| 1.813 |
0.01 |
60 |
1.7710 |
| 1.9026 |
0.01 |
80 |
1.7605 |
| 1.8352 |
0.01 |
100 |
1.7449 |
| 1.7327 |
0.02 |
120 |
1.7100 |
| 1.8625 |
0.02 |
140 |
1.7055 |
| 1.9379 |
0.02 |
160 |
1.7008 |
| 1.8597 |
0.02 |
180 |
1.6971 |
| 1.8703 |
0.03 |
200 |
1.6943 |
| 1.7749 |
0.03 |
220 |
1.6902 |
| 1.7645 |
0.03 |
240 |
1.6898 |
| 1.7894 |
0.04 |
260 |
1.6886 |
| 1.8492 |
0.04 |
280 |
1.6870 |
| 1.7331 |
0.04 |
300 |
1.6841 |
| 1.7278 |
0.04 |
320 |
1.6830 |
| 1.6963 |
0.05 |
340 |
1.6826 |
| 1.8226 |
0.05 |
360 |
1.6813 |
| 1.8246 |
0.05 |
380 |
1.6797 |
| 1.8577 |
0.05 |
400 |
1.6778 |
| 1.6691 |
0.06 |
420 |
1.6779 |
| 1.7001 |
0.06 |
440 |
1.6774 |
| 1.9008 |
0.06 |
460 |
1.6770 |
| 1.7856 |
0.07 |
480 |
1.6733 |
| 1.7674 |
0.07 |
500 |
1.6746 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
