|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
model-index: |
|
- name: mistral-journal-finetune-aipi |
|
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-journal-finetune-aipi |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.7849 |
|
|
|
## 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: 2.5e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1 |
|
- training_steps: 500 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-------:|:----:|:---------------:| |
|
| 1.3541 | 0.6757 | 25 | 1.4800 | |
|
| 0.8644 | 1.3514 | 50 | 1.4804 | |
|
| 0.8449 | 2.0270 | 75 | 1.5426 | |
|
| 0.5501 | 2.7027 | 100 | 1.6733 | |
|
| 0.2691 | 3.3784 | 125 | 1.8077 | |
|
| 0.2187 | 4.0541 | 150 | 1.9603 | |
|
| 0.1408 | 4.7297 | 175 | 2.0132 | |
|
| 0.0892 | 5.4054 | 200 | 2.2048 | |
|
| 0.0891 | 6.0811 | 225 | 2.2487 | |
|
| 0.0633 | 6.7568 | 250 | 2.2303 | |
|
| 0.0516 | 7.4324 | 275 | 2.2637 | |
|
| 0.0479 | 8.1081 | 300 | 2.2366 | |
|
| 0.0486 | 8.7838 | 325 | 2.3266 | |
|
| 0.0435 | 9.4595 | 350 | 2.5567 | |
|
| 0.0389 | 10.1351 | 375 | 2.6020 | |
|
| 0.04 | 10.8108 | 400 | 2.7252 | |
|
| 0.0341 | 11.4865 | 425 | 2.6801 | |
|
| 0.0357 | 12.1622 | 450 | 2.7342 | |
|
| 0.0363 | 12.8378 | 475 | 2.7706 | |
|
| 0.0342 | 13.5135 | 500 | 2.7849 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.1.dev0 |
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.19.0 |
