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---
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base_model: microsoft/phi-2
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datasets:
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- generator
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library_name: peft
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license: mit
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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_phi2_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_phi2/runs/a2dnk0qv) |
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# ERC_SUMMARY_phi2_peft |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the ArunaMak/ERC_summary dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4798 |
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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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| 1.5888 | 1.0 | 40 | 1.5819 | |
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| 1.5677 | 2.0 | 80 | 1.5202 | |
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| 1.5819 | 3.0 | 120 | 1.4962 | |
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| 1.4227 | 4.0 | 160 | 1.4842 | |
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| 1.4786 | 5.0 | 200 | 1.4798 | |
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| 1.5015 | 6.0 | 240 | 1.4798 | |
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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 |
