---
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-2_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-2_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: 1.1281

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0983        | 1.0   | 11   | 1.0808          |
| 0.8983        | 2.0   | 22   | 0.9538          |
| 0.8093        | 3.0   | 33   | 0.8324          |
| 0.812         | 4.0   | 44   | 0.8045          |
| 0.7556        | 5.0   | 55   | 0.7908          |
| 0.7048        | 6.0   | 66   | 0.7883          |
| 0.6515        | 7.0   | 77   | 0.7959          |
| 0.5883        | 8.0   | 88   | 0.8304          |
| 0.4745        | 9.0   | 99   | 0.8685          |
| 0.3673        | 10.0  | 110  | 0.9279          |
| 0.3406        | 11.0  | 121  | 0.9977          |
| 0.2499        | 12.0  | 132  | 1.0295          |
| 0.2273        | 13.0  | 143  | 1.1281          |


### Framework versions

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