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---
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: []
---
<!-- 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. -->
[<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 |