---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: google/gemma-7b
model-index:
- name: Gemma_ei_oc_unstructured_train_5e-5
  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. -->

# Gemma_ei_oc_unstructured_train_5e-5

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the emollms_ei_oc_unstructured dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1397

## 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: 5e-05
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 6.4386        | 0.3604 | 10   | 0.7805          |
| 0.2931        | 0.7207 | 20   | 0.1466          |
| 0.1433        | 1.0811 | 30   | 0.1425          |
| 0.1384        | 1.4414 | 40   | 0.1401          |
| 0.137         | 1.8018 | 50   | 0.1397          |
| 0.1392        | 2.1622 | 60   | 0.1418          |
| 0.1357        | 2.5225 | 70   | 0.1410          |
| 0.1351        | 2.8829 | 80   | 0.1403          |


### Framework versions

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