---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- unsloth
- translation
- generated_from_trainer
base_model: unsloth/mistral-7b-bnb-4bit
model-index:
- name: MistralAI_iwslt15_10000
  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. -->

# MistralAI_iwslt15_10000

This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5245

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 4269
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1687        | 0.32  | 100  | 1.0937          |
| 1.0905        | 0.64  | 200  | 1.0724          |
| 1.0711        | 0.96  | 300  | 1.0552          |
| 0.9258        | 1.28  | 400  | 1.0648          |
| 0.8979        | 1.6   | 500  | 1.0613          |
| 0.8893        | 1.92  | 600  | 1.0512          |
| 0.7253        | 2.24  | 700  | 1.1353          |
| 0.6713        | 2.56  | 800  | 1.1260          |
| 0.6701        | 2.88  | 900  | 1.1252          |
| 0.5284        | 3.2   | 1000 | 1.2891          |
| 0.446         | 3.52  | 1100 | 1.2803          |
| 0.4454        | 3.84  | 1200 | 1.3040          |
| 0.3663        | 4.16  | 1300 | 1.5203          |
| 0.282         | 4.48  | 1400 | 1.5198          |
| 0.2798        | 4.8   | 1500 | 1.5245          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2