|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- unsloth |
|
- generated_from_trainer |
|
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: mistral_numericnlg_FV |
|
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_numericnlg_FV |
|
|
|
This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2038 |
|
- Rouge1: 0.6650 |
|
- Rougel: 0.5559 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 1 |
|
- seed: 3407 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 5 |
|
- num_epochs: 6 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rougel | |
|
|:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
|
| 1.3723 | 0.9446 | 16 | 1.3128 | 0.6406 | 0.5251 | |
|
| 1.2226 | 1.9483 | 33 | 1.2305 | 0.6603 | 0.5562 | |
|
| 1.1781 | 2.9520 | 50 | 1.2129 | 0.6658 | 0.5556 | |
|
| 1.2057 | 3.9557 | 67 | 1.2062 | 0.6659 | 0.5560 | |
|
| 1.215 | 4.9594 | 84 | 1.2040 | 0.6656 | 0.5551 | |
|
| 1.1676 | 5.6679 | 96 | 1.2038 | 0.6650 | 0.5559 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.2.0 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.19.1 |
