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---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: google/gemma-7b
model-index:
- name: Gemma_ei_oc_unstructured_train_2e-4
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_2e-4
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: 0.1376
## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.0971 | 0.3604 | 10 | 0.1433 |
| 0.1428 | 0.7207 | 20 | 0.1388 |
| 0.1363 | 1.0811 | 30 | 0.1394 |
| 0.136 | 1.4414 | 40 | 0.1378 |
| 0.1359 | 1.8018 | 50 | 0.1413 |
| 0.1364 | 2.1622 | 60 | 0.1376 |
| 0.1336 | 2.5225 | 70 | 0.1382 |
| 0.1322 | 2.8829 | 80 | 0.1386 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |