---
license: apache-2.0
base_model: imone/Mistral_7B_with_EOT_token
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-sft-full
  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

This model is a fine-tuned version of [imone/Mistral_7B_with_EOT_token](https://huggingface.co/imone/Mistral_7B_with_EOT_token) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1581

## 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: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6823        | 1.0   | 565  | 0.6283          |
| 0.4922        | 2.0   | 1130 | 0.3859          |
| 0.3003        | 3.0   | 1695 | 0.2350          |
| 0.1776        | 4.0   | 2260 | 0.1633          |
| 0.0793        | 5.0   | 2825 | 0.1581          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.2+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1