---
base_model: google/gemma-7b-it
datasets:
- generator
library_name: peft
license: gemma
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: ERC_SUMMARY_gemma_peft
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/gladys-vimalan-anna-university/ERC_PEFT_gemma/runs/ctai1xg2)
# ERC_SUMMARY_gemma_peft

This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on the ArunaMak/ERC_summary dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5364

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.3768        | 0.9921 | 94   | 4.8155          |
| 1.6402        | 1.9947 | 189  | 1.6594          |
| 1.3945        | 2.9974 | 284  | 1.5666          |
| 1.3478        | 4.0    | 379  | 1.5460          |
| 1.3085        | 4.9921 | 473  | 1.5388          |
| 1.1856        | 5.9525 | 564  | 1.5364          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1