---
base_model: mistralai/Mistral-7B-v0.3
datasets:
- llama-duo/synth_classification_dataset_dedup
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: mistral-7b_0_3-classification-gpt4o-100k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-7b_0_3-classification-gpt4o-100k

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the llama-duo/synth_classification_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5428

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8763        | 1.0   | 134  | 1.4227          |
| 0.7756        | 2.0   | 268  | 1.4397          |
| 0.7387        | 3.0   | 402  | 1.4401          |
| 0.7128        | 4.0   | 536  | 1.4540          |
| 0.6837        | 5.0   | 670  | 1.4658          |
| 0.6691        | 6.0   | 804  | 1.4930          |
| 0.6389        | 7.0   | 938  | 1.5040          |
| 0.6291        | 8.0   | 1072 | 1.5243          |
| 0.6197        | 9.0   | 1206 | 1.5375          |
| 0.6028        | 10.0  | 1340 | 1.5428          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1