---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.3
model-index:
- name: Mistral_ei_oc_structured_train
  results: []
---

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# Mistral_ei_oc_structured_train

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the emollms_ei_oc_structured dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0778

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4849        | 0.3604 | 10   | 0.1087          |
| 0.0931        | 0.7207 | 20   | 0.0948          |
| 0.0758        | 1.0811 | 30   | 0.0815          |
| 0.067         | 1.4414 | 40   | 0.0778          |
| 0.0619        | 1.8018 | 50   | 0.0781          |
| 0.059         | 2.1622 | 60   | 0.0818          |
| 0.0497        | 2.5225 | 70   | 0.0838          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1