---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
---

# Uploaded  model

- **Developed by:** Angelectronic
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

### Evaluation
- **ViMMRC test set:** 0.7913 accuracy

### Training results

| Training Loss | Accuracy  | Step  | Validation Loss |
|:-------------:|:---------:|:-----:|:---------------:|
| 1.031300      | 0.764065  | 240   | 1.471467        |
| 0.854200      | 0.767695  | 480   | 1.459051        |
| 0.753000      | 0.791288  | 720   | 1.521693        |
| 0.669600      | 0.767695  | 960   | 1.521454        |
| 0.592300      | 0.771324  | 1200  | 1.590301        |
| 0.496500      | 0.780399  | 1440  | 1.608687        |
| 0.381800      | 0.785843  | 1680  | 1.641979        |
| 0.334100      | 0.769510  | 1920  | 1.629696        |
| 0.285500      | 0.769510  | 2160  | 1.715881        |
| 0.242200      | 0.765880  | 2400  | 1.747410        |
| 0.200000      | 0.773140  | 2640  | 1.813693        |
| 0.146800      | 0.765880  | 2880  | 1.937426        |
| 0.112200      | 0.776769  | 3120  | 1.937926        |
| 0.101500      | 0.765880  | 3360  | 1.997301        |
| 0.094200      | 0.764065  | 3600  | 1.968903        |
| 0.087000      | 0.758621  | 3840  | 2.004644        |
| 0.084600      | 0.762250  | 4080  | 2.010856        |



### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- eval_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

### Framework versions

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