---
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-3_120-samples_config-2
  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-3_120-samples_config-2

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: 0.7857

## 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: 16
- total_train_batch_size: 16
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 3.4696        | 0.9091  | 5    | 2.7714          |
| 1.5154        | 2.0     | 11   | 0.9233          |
| 0.4441        | 2.9091  | 16   | 0.5486          |
| 0.4453        | 4.0     | 22   | 0.4419          |
| 0.2943        | 4.9091  | 27   | 0.3947          |
| 0.209         | 6.0     | 33   | 0.3950          |
| 0.167         | 6.9091  | 38   | 0.4694          |
| 0.0931        | 8.0     | 44   | 0.5510          |
| 0.0271        | 8.9091  | 49   | 0.6278          |
| 0.0121        | 10.0    | 55   | 0.7051          |
| 0.0101        | 10.9091 | 60   | 0.7721          |
| 0.0546        | 12.0    | 66   | 0.7857          |


### Framework versions

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