---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: mistral7b_instruct_generation
  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. -->

# mistral7b_instruct_generation

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8140

## 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: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8937        | 0.0028 | 20   | 1.8344          |
| 1.8442        | 0.0056 | 40   | 1.8027          |
| 1.887         | 0.0084 | 60   | 1.7948          |
| 1.7711        | 0.0112 | 80   | 1.7884          |
| 1.7809        | 0.0140 | 100  | 1.7881          |
| 1.8632        | 0.0168 | 120  | 1.7957          |
| 1.8436        | 0.0196 | 140  | 1.8012          |
| 1.8959        | 0.0224 | 160  | 1.7860          |
| 1.8644        | 0.0252 | 180  | 1.7912          |
| 1.8285        | 0.0280 | 200  | 1.7884          |
| 1.8769        | 0.0307 | 220  | 1.7982          |
| 1.8726        | 0.0335 | 240  | 1.8046          |
| 1.8227        | 0.0363 | 260  | 1.7954          |
| 1.8554        | 0.0391 | 280  | 1.7927          |
| 1.9006        | 0.0419 | 300  | 1.7952          |
| 1.769         | 0.0447 | 320  | 1.8006          |
| 1.8014        | 0.0475 | 340  | 1.7895          |
| 1.8772        | 0.0503 | 360  | 1.7966          |
| 1.7403        | 0.0531 | 380  | 1.7988          |
| 1.8945        | 0.0559 | 400  | 1.7979          |
| 1.8937        | 0.0587 | 420  | 1.7987          |
| 1.9235        | 0.0615 | 440  | 1.8044          |
| 1.8496        | 0.0643 | 460  | 1.7951          |
| 1.8778        | 0.0671 | 480  | 1.7974          |
| 1.8681        | 0.0699 | 500  | 1.8140          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1