---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- vipinkatara/SFT_data223
model-index:
- name: zephyr-7b-sft-full-10ep
  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. -->

# zephyr-7b-sft-full-10ep

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the vipinkatara/SFT_data223 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0485

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.203         | 1.0   | 23   | 0.1086          |
| 0.0942        | 2.0   | 46   | 0.0702          |
| 0.064         | 3.0   | 69   | 0.0579          |
| 0.055         | 4.0   | 92   | 0.0539          |
| 0.0533        | 5.0   | 115  | 0.0529          |
| 0.0525        | 6.0   | 138  | 0.0515          |
| 0.0519        | 7.0   | 161  | 0.0505          |
| 0.0505        | 8.0   | 184  | 0.0496          |
| 0.0494        | 9.0   | 207  | 0.0487          |
| 0.0484        | 10.0  | 230  | 0.0485          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1