metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
- generated_from_trainer
model-index:
- name: finetune_arc_20
results: []
finetune_arc_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: 2.7783
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 |
|---|---|---|---|
| 1.3635 | 1.0 | 150 | 1.2844 |
| 0.8018 | 2.0 | 300 | 1.3583 |
| 0.4765 | 3.0 | 450 | 1.5943 |
| 0.2923 | 4.0 | 600 | 1.8834 |
| 0.1973 | 5.0 | 750 | 1.9693 |
| 0.1986 | 6.0 | 900 | 2.0187 |
| 0.1769 | 7.0 | 1050 | 2.1674 |
| 0.1359 | 8.0 | 1200 | 2.1402 |
| 0.1778 | 9.0 | 1350 | 2.3226 |
| 0.1353 | 10.0 | 1500 | 2.3321 |
| 0.1426 | 11.0 | 1650 | 2.4006 |
| 0.1412 | 12.0 | 1800 | 2.5354 |
| 0.164 | 13.0 | 1950 | 2.5339 |
| 0.1034 | 14.0 | 2100 | 2.5972 |
| 0.1087 | 15.0 | 2250 | 2.6059 |
| 0.0878 | 16.0 | 2400 | 2.6054 |
| 0.0985 | 17.0 | 2550 | 2.6881 |
| 0.1018 | 18.0 | 2700 | 2.7388 |
| 0.1091 | 19.0 | 2850 | 2.7657 |
| 0.0846 | 20.0 | 3000 | 2.7783 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0