| | ---
|
| | base_model: microsoft/phi-2
|
| | datasets:
|
| | - generator
|
| | library_name: peft
|
| | license: mit
|
| | tags:
|
| | - trl
|
| | - sft
|
| | - generated_from_trainer
|
| | model-index:
|
| | - name: ERC_SUMMARY_phi2_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_phi2/runs/a2dnk0qv) |
| | # ERC_SUMMARY_phi2_peft |
| | |
| | This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the ArunaMak/ERC_summary dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4798 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.5888 | 1.0 | 40 | 1.5819 | |
| | | 1.5677 | 2.0 | 80 | 1.5202 | |
| | | 1.5819 | 3.0 | 120 | 1.4962 | |
| | | 1.4227 | 4.0 | 160 | 1.4842 | |
| | | 1.4786 | 5.0 | 200 | 1.4798 | |
| | | 1.5015 | 6.0 | 240 | 1.4798 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.43.0.dev0 |
| | - Pytorch 2.3.1+cu118 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
