---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: unsloth/gemma-1.1-7b-it-bnb-4bit
model-index:
- name: gemma-ViMMRC-Answer
  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. -->

# gemma-ViMMRC-Answer

This model is a fine-tuned version of [unsloth/gemma-1.1-7b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-1.1-7b-it-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1034
- Accuracy: 0.8493

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

- ViMMRC train and test set

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 13.1          | 0.3306 | 10   | 5.9870          |
| 2.4875        | 0.6612 | 20   | 1.1997          |
| 0.5062        | 0.9917 | 30   | 0.2423          |
| 0.1602        | 1.3223 | 40   | 0.1251          |
| 0.1289        | 1.6529 | 50   | 0.1156          |
| 0.1234        | 1.9835 | 60   | 0.1000          |
| 0.0727        | 2.3140 | 70   | 0.1068          |
| 0.0945        | 2.6446 | 80   | 0.1035          |
| 0.0785        | 2.9752 | 90   | 0.1034          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1