peft safetensors trl sft generated_from_trainer base_model:mistralai/Mistral-7B-Instruct-v0.2 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: mistral_instruct_generation
  results: []
---

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

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5788

## 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: 0.0001
- 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: 0.03
- training_steps: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0261        | 0.4   | 10   | 2.8697          |
| 2.2616        | 0.8   | 20   | 1.6009          |
| 1.1871        | 1.2   | 30   | 0.9599          |
| 0.8522        | 1.6   | 40   | 0.7228          |
| 0.7375        | 2.0   | 50   | 0.6601          |
| 0.5916        | 2.4   | 60   | 0.6184          |
| 0.6219        | 2.8   | 70   | 0.5957          |
| 0.5025        | 3.2   | 80   | 0.5980          |
| 0.5148        | 3.6   | 90   | 0.5849          |
| 0.5502        | 4.0   | 100  | 0.5639          |
| 0.4414        | 4.4   | 110  | 0.5875          |
| 0.4423        | 4.8   | 120  | 0.5847          |
| 0.43          | 5.2   | 130  | 0.5902          |
| 0.3843        | 5.6   | 140  | 0.6223          |
| 0.4173        | 6.0   | 150  | 0.5788          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0