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---
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base_model: google/gemma-7b-it
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datasets:
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- generator
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: ERC_SUMMARY_gemma_peft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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) |
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# ERC_SUMMARY_gemma_peft |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5364 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 4.3768 | 0.9921 | 94 | 4.8155 | |
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| 1.6402 | 1.9947 | 189 | 1.6594 | |
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| 1.3945 | 2.9974 | 284 | 1.5666 | |
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| 1.3478 | 4.0 | 379 | 1.5460 | |
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| 1.3085 | 4.9921 | 473 | 1.5388 | |
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| 1.1856 | 5.9525 | 564 | 1.5364 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
