---
base_model: checkpoints/Mistral-7B-Instruct-EI-Iter2
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- synthetic_data_mistral-7b-instruct-expert-iteration-iter3_score
model-index:
- name: Mistral-7B-Instruct-EI-Iter3
  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. -->

# Mistral-7B-Instruct-EI-Iter3

This model is a fine-tuned version of [checkpoints/Mistral-7B-Instruct-EI-Iter2](https://huggingface.co/checkpoints/Mistral-7B-Instruct-EI-Iter2) on the synthetic_data_mistral-7b-instruct-expert-iteration-iter3_score dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4722

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- 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: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6652        | 1.0   | 106  | 0.4722          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1