|
--- |
|
library_name: peft |
|
license: apache-2.0 |
|
base_model: unsloth/mistral-7b-v0.2 |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: ebf49ab7-f89b-4e6a-b5b6-7c9f6466e27c |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<br> |
|
|
|
# ebf49ab7-f89b-4e6a-b5b6-7c9f6466e27c |
|
|
|
This model is a fine-tuned version of [unsloth/mistral-7b-v0.2](https://huggingface.co/unsloth/mistral-7b-v0.2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8634 |
|
|
|
## 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: 110 |
|
- 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 | 3.8445 | |
|
| 2.9324 | 0.0271 | 50 | 3.0242 | |
|
| 3.2723 | 0.0543 | 100 | 2.3571 | |
|
| 3.0635 | 0.0814 | 150 | 2.0274 | |
|
| 4.7947 | 0.1085 | 200 | 1.5986 | |
|
| 2.3622 | 0.1356 | 250 | 1.5911 | |
|
| 2.6259 | 0.1628 | 300 | 1.2451 | |
|
| 1.6583 | 0.1899 | 350 | 1.1302 | |
|
| 1.8973 | 0.2170 | 400 | 0.9359 | |
|
| 1.8216 | 0.2442 | 450 | 0.8727 | |
|
| 1.3534 | 0.2713 | 500 | 0.8634 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.46.0 |
|
- Pytorch 2.5.0+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
