metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
- generated_from_trainer
model-index:
- name: finetune_cs_20
results: []
finetune_cs_20
This model is a fine-tuned version of lmsys/vicuna-7b-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9803
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: 0.0001
- 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: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7173 | 1.0 | 150 | 1.6256 |
| 1.5959 | 2.0 | 300 | 1.6775 |
| 0.5699 | 3.0 | 450 | 1.9236 |
| 0.4921 | 4.0 | 600 | 2.1318 |
| 0.3044 | 5.0 | 750 | 2.2606 |
| 0.2809 | 6.0 | 900 | 2.3494 |
| 0.2299 | 7.0 | 1050 | 2.4316 |
| 0.2073 | 8.0 | 1200 | 2.4576 |
| 0.1851 | 9.0 | 1350 | 2.4981 |
| 0.1906 | 10.0 | 1500 | 2.6060 |
| 0.1616 | 11.0 | 1650 | 2.6427 |
| 0.1529 | 12.0 | 1800 | 2.6856 |
| 0.1453 | 13.0 | 1950 | 2.7683 |
| 0.1507 | 14.0 | 2100 | 2.7889 |
| 0.1607 | 15.0 | 2250 | 2.8477 |
| 0.1545 | 16.0 | 2400 | 2.8710 |
| 0.1598 | 17.0 | 2550 | 2.8968 |
| 0.1593 | 18.0 | 2700 | 2.9389 |
| 0.1479 | 19.0 | 2850 | 2.9629 |
| 0.1298 | 20.0 | 3000 | 2.9803 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0