metadata
library_name: peft
license: apache-2.0
base_model: unsloth/mistral-7b-instruct-v0.2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d0672be5-fbe8-4d5b-a644-9013deb8820c
results: []
d0672be5-fbe8-4d5b-a644-9013deb8820c
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: 1.1059
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: 0.000211
- 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=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 | 0.0001 | 1 | 1.5842 |
| 2.2242 | 0.0035 | 50 | 1.1996 |
| 1.932 | 0.0071 | 100 | 1.2317 |
| 2.3692 | 0.0106 | 150 | 1.2062 |
| 2.0542 | 0.0141 | 200 | 1.1977 |
| 2.1478 | 0.0177 | 250 | 1.1813 |
| 1.9 | 0.0212 | 300 | 1.1527 |
| 1.778 | 0.0248 | 350 | 1.1319 |
| 1.9175 | 0.0283 | 400 | 1.1162 |
| 1.7999 | 0.0318 | 450 | 1.1087 |
| 1.6523 | 0.0354 | 500 | 1.1059 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1