---
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: mistral_recipe1m_5500
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_recipe1m_5500

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1857

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 3
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3671        | 0.1081 | 20   | 1.3132          |
| 1.2542        | 0.2162 | 40   | 1.2499          |
| 1.2247        | 0.3243 | 60   | 1.2297          |
| 1.2297        | 0.4324 | 80   | 1.2183          |
| 1.2271        | 0.5405 | 100  | 1.2078          |
| 1.2063        | 0.6486 | 120  | 1.2005          |
| 1.2123        | 0.7568 | 140  | 1.1947          |
| 1.1968        | 0.8649 | 160  | 1.1903          |
| 1.2038        | 0.9730 | 180  | 1.1857          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0