metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
- generated_from_trainer
model-index:
- name: finetune_cs_20_cot
results: []
finetune_cs_20_cot
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: 2.9873
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 |
|---|---|---|---|
| 1.7119 | 1.0 | 150 | 1.6237 |
| 1.5767 | 2.0 | 300 | 1.6768 |
| 0.5982 | 3.0 | 450 | 1.9207 |
| 0.5098 | 4.0 | 600 | 2.1488 |
| 0.3085 | 5.0 | 750 | 2.2398 |
| 0.2595 | 6.0 | 900 | 2.2685 |
| 0.2118 | 7.0 | 1050 | 2.4754 |
| 0.2221 | 8.0 | 1200 | 2.4747 |
| 0.1796 | 9.0 | 1350 | 2.5642 |
| 0.1706 | 10.0 | 1500 | 2.5938 |
| 0.161 | 11.0 | 1650 | 2.6814 |
| 0.1484 | 12.0 | 1800 | 2.7009 |
| 0.1408 | 13.0 | 1950 | 2.7635 |
| 0.1472 | 14.0 | 2100 | 2.7593 |
| 0.154 | 15.0 | 2250 | 2.8357 |
| 0.1455 | 16.0 | 2400 | 2.8705 |
| 0.164 | 17.0 | 2550 | 2.9052 |
| 0.1613 | 18.0 | 2700 | 2.9437 |
| 0.1397 | 19.0 | 2850 | 2.9716 |
| 0.1177 | 20.0 | 3000 | 2.9873 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0