---
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_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MistralAI_iwslt15_10000_2

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: 1.0438

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1684        | 0.32  | 100  | 1.0926          |
| 1.0883        | 0.64  | 200  | 1.0701          |
| 1.0672        | 0.96  | 300  | 1.0498          |
| 0.9315        | 1.28  | 400  | 1.0547          |
| 0.8973        | 1.6   | 500  | 1.0495          |
| 0.8831        | 1.92  | 600  | 1.0438          |


### Framework versions

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