---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_120-samples_config-1_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B_task-1_120-samples_config-1_full

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4277

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9008        | 1.0   | 11   | 1.7749          |
| 1.2368        | 2.0   | 22   | 1.2046          |
| 0.9597        | 3.0   | 33   | 0.9767          |
| 0.8364        | 4.0   | 44   | 0.9268          |
| 0.6751        | 5.0   | 55   | 0.9151          |
| 0.492         | 6.0   | 66   | 0.9614          |
| 0.3136        | 7.0   | 77   | 1.0794          |
| 0.2439        | 8.0   | 88   | 1.2906          |
| 0.1635        | 9.0   | 99   | 1.2869          |
| 0.1396        | 10.0  | 110  | 1.3567          |
| 0.116         | 11.0  | 121  | 1.3482          |
| 0.104         | 12.0  | 132  | 1.4277          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1