metadata
library_name: peft
license: apache-2.0
base_model: unsloth/mistral-7b-instruct-v0.2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4726afab-7ebf-4a20-856c-1cf68589a4c8
results: []
4726afab-7ebf-4a20-856c-1cf68589a4c8
This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2034
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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 30
- 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=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0005 | 1 | 2.5975 |
| 2.9989 | 0.0243 | 50 | 1.6902 |
| 3.3957 | 0.0486 | 100 | 1.8114 |
| 3.1821 | 0.0729 | 150 | 1.7349 |
| 2.9795 | 0.0972 | 200 | 1.6878 |
| 2.8327 | 0.1214 | 250 | 1.6964 |
| 3.0645 | 0.1457 | 300 | 1.4894 |
| 2.8703 | 0.1700 | 350 | 1.3699 |
| 2.4628 | 0.1943 | 400 | 1.2494 |
| 2.6866 | 0.2186 | 450 | 1.2125 |
| 2.2741 | 0.2429 | 500 | 1.2034 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1