metadata
library_name: peft
license: llama2
base_model: lmsys/vicuna-13b-v1.5
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 660d58d6-3d9e-41a8-9259-c0a8f98941f4
results: []
660d58d6-3d9e-41a8-9259-c0a8f98941f4
This model is a fine-tuned version of lmsys/vicuna-13b-v1.5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4893
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: 0.000216
- train_batch_size: 4
- eval_batch_size: 4
- seed: 160
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0000 | 1 | 3.2665 |
0.4976 | 0.0217 | 500 | 0.4893 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1