|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: mistralai/Mistral-7B-v0.1 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: out |
|
|
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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
|
# out |
|
|
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.3578 |
|
|
|
|
|
## 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: 6e-06 |
|
|
- train_batch_size: 2 |
|
|
- eval_batch_size: 2 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 8 |
|
|
- total_train_batch_size: 16 |
|
|
- total_eval_batch_size: 16 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 10 |
|
|
- num_epochs: 4 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 1.0098 | 0.02 | 1 | 1.1120 | |
|
|
| 1.0619 | 0.2 | 13 | 1.0209 | |
|
|
| 0.9973 | 0.41 | 26 | 1.0142 | |
|
|
| 0.9229 | 0.61 | 39 | 1.0068 | |
|
|
| 0.9302 | 0.81 | 52 | 1.0037 | |
|
|
| 0.6189 | 1.02 | 65 | 1.0103 | |
|
|
| 0.5912 | 1.22 | 78 | 1.0485 | |
|
|
| 0.5477 | 1.42 | 91 | 1.0665 | |
|
|
| 0.6536 | 1.62 | 104 | 1.0594 | |
|
|
| 0.5538 | 1.83 | 117 | 1.0684 | |
|
|
| 0.3619 | 2.03 | 130 | 1.1095 | |
|
|
| 0.3412 | 2.23 | 143 | 1.1854 | |
|
|
| 0.2986 | 2.44 | 156 | 1.1898 | |
|
|
| 0.3164 | 2.64 | 169 | 1.1895 | |
|
|
| 0.326 | 2.84 | 182 | 1.1849 | |
|
|
| 0.1795 | 3.05 | 195 | 1.2659 | |
|
|
| 0.1595 | 3.25 | 208 | 1.3222 | |
|
|
| 0.1765 | 3.45 | 221 | 1.3298 | |
|
|
| 0.1417 | 3.66 | 234 | 1.3659 | |
|
|
| 0.1282 | 3.86 | 247 | 1.3578 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.34.0.dev0 |
|
|
- Pytorch 2.0.1+cu118 |
|
|
- Datasets 2.14.4 |
|
|
- Tokenizers 0.14.0 |
|
|
|
