|
--- |
|
base_model: mistralai/Mistral-7B-Instruct-v0.3 |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: Mistral-7B_task-1_60-samples_config-1_full |
|
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. --> |
|
|
|
# Mistral-7B_task-1_60-samples_config-1_full |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4447 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 50 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-------:|:----:|:---------------:| |
|
| 2.1428 | 0.8696 | 5 | 1.8872 | |
|
| 1.7313 | 1.9130 | 11 | 1.4963 | |
|
| 1.2743 | 2.9565 | 17 | 1.1005 | |
|
| 0.9489 | 4.0 | 23 | 0.9686 | |
|
| 0.7984 | 4.8696 | 28 | 0.9257 | |
|
| 0.6358 | 5.9130 | 34 | 0.9723 | |
|
| 0.4722 | 6.9565 | 40 | 1.0251 | |
|
| 0.3258 | 8.0 | 46 | 1.1248 | |
|
| 0.2366 | 8.8696 | 51 | 1.2418 | |
|
| 0.1887 | 9.9130 | 57 | 1.3003 | |
|
| 0.1497 | 10.9565 | 63 | 1.3586 | |
|
| 0.1313 | 12.0 | 69 | 1.4447 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
