---
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_wikitable_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_wikitable_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: 0.3567
- Rouge1: 0.8764
- Rougel: 0.8720

## 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 0.5561        | 0.9984 | 156  | 0.4506          | 0.8474 | 0.8405 |
| 0.4761        | 1.9968 | 312  | 0.4096          | 0.8636 | 0.8575 |
| 0.3846        | 2.9952 | 468  | 0.3823          | 0.8693 | 0.8648 |
| 0.3334        | 4.0    | 625  | 0.3666          | 0.8741 | 0.8697 |
| 0.3367        | 4.9984 | 781  | 0.3566          | 0.8773 | 0.8729 |
| 0.298         | 5.9904 | 936  | 0.3567          | 0.8764 | 0.8720 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.0
- Datasets 2.16.0
- Tokenizers 0.19.1