metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
- generated_from_trainer
model-index:
- name: finetune_mc_20
results: []
finetune_mc_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: 4.1545
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 |
|---|---|---|---|
| 0.9427 | 1.0 | 70 | 1.9064 |
| 0.2001 | 2.0 | 140 | 2.6308 |
| 0.1129 | 3.0 | 210 | 2.9004 |
| 0.0803 | 4.0 | 280 | 3.0336 |
| 0.0665 | 5.0 | 350 | 3.0398 |
| 0.0396 | 6.0 | 420 | 3.0769 |
| 0.0429 | 7.0 | 490 | 3.1504 |
| 0.0318 | 8.0 | 560 | 3.2690 |
| 0.03 | 9.0 | 630 | 3.4818 |
| 0.0258 | 10.0 | 700 | 3.6011 |
| 0.0247 | 11.0 | 770 | 3.7578 |
| 0.0287 | 12.0 | 840 | 3.8834 |
| 0.0257 | 13.0 | 910 | 3.9492 |
| 0.0267 | 14.0 | 980 | 3.9646 |
| 0.0205 | 15.0 | 1050 | 4.0157 |
| 0.0202 | 16.0 | 1120 | 4.0518 |
| 0.0222 | 17.0 | 1190 | 4.0854 |
| 0.0203 | 18.0 | 1260 | 4.1229 |
| 0.0231 | 19.0 | 1330 | 4.1433 |
| 0.0199 | 20.0 | 1400 | 4.1545 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.14.1