2625711f-b60a-44b6-bcaf-94355dc52daa
This model is a fine-tuned version of lmsys/vicuna-7b-v1.5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3860
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: 0.0001012
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4008 | 0.0003 | 1 | 1.7593 |
| 1.7109 | 0.0138 | 50 | 1.4664 |
| 1.619 | 0.0277 | 100 | 1.4342 |
| 1.769 | 0.0415 | 150 | 1.3988 |
| 1.7578 | 0.0553 | 200 | 1.3860 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso/2625711f-b60a-44b6-bcaf-94355dc52daa
Base model
lmsys/vicuna-7b-v1.5