|
|
--- |
|
|
library_name: peft |
|
|
tags: |
|
|
- trl |
|
|
- sft |
|
|
- generated_from_trainer |
|
|
base_model: mistralai/Mistral-7B-Instruct-v0.2 |
|
|
model-index: |
|
|
- name: sqlm |
|
|
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. --> |
|
|
|
|
|
# sqlm |
|
|
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3241 |
|
|
|
|
|
## 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: 0.0002 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: constant |
|
|
- lr_scheduler_warmup_steps: 0.03 |
|
|
- training_steps: 200 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.5521 | 0.03 | 20 | 0.4444 | |
|
|
| 0.3942 | 0.05 | 40 | 0.3773 | |
|
|
| 0.3777 | 0.08 | 60 | 0.3571 | |
|
|
| 0.3452 | 0.11 | 80 | 0.3451 | |
|
|
| 0.3219 | 0.13 | 100 | 0.3431 | |
|
|
| 0.3339 | 0.16 | 120 | 0.3366 | |
|
|
| 0.3147 | 0.19 | 140 | 0.3334 | |
|
|
| 0.307 | 0.21 | 160 | 0.3341 | |
|
|
| 0.3283 | 0.24 | 180 | 0.3259 | |
|
|
| 0.3174 | 0.27 | 200 | 0.3241 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.10.0 |
|
|
- Transformers 4.39.3 |
|
|
- Pytorch 2.2.2+cu121 |
|
|
- Datasets 2.18.0 |
|
|
- Tokenizers 0.15.2 |
