metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
- generated_from_trainer
model-index:
- name: finetune_race_20
results: []
finetune_race_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: 3.4669
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 |
|---|---|---|---|
| 1.2823 | 1.0 | 150 | 1.4463 |
| 0.7207 | 2.0 | 300 | 1.5249 |
| 0.4983 | 3.0 | 450 | 1.6580 |
| 0.5956 | 4.0 | 600 | 1.8347 |
| 0.1806 | 5.0 | 750 | 2.0078 |
| 0.1439 | 6.0 | 900 | 2.2482 |
| 0.1399 | 7.0 | 1050 | 2.3858 |
| 0.0826 | 8.0 | 1200 | 2.4455 |
| 0.0878 | 9.0 | 1350 | 2.5889 |
| 0.0564 | 10.0 | 1500 | 2.7918 |
| 0.0641 | 11.0 | 1650 | 2.7968 |
| 0.0522 | 12.0 | 1800 | 2.7144 |
| 0.0491 | 13.0 | 1950 | 2.9539 |
| 0.0436 | 14.0 | 2100 | 2.9602 |
| 0.0431 | 15.0 | 2250 | 3.1613 |
| 0.0449 | 16.0 | 2400 | 3.2197 |
| 0.0516 | 17.0 | 2550 | 3.3331 |
| 0.0432 | 18.0 | 2700 | 3.4157 |
| 0.0448 | 19.0 | 2850 | 3.4384 |
| 0.0416 | 20.0 | 3000 | 3.4669 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.14.1