| | --- |
| | license: mit |
| | base_model: valhalla/t5-small-e2e-qg |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: finetuned-baseline |
| | 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. --> |
| |
|
| | # finetuned-baseline |
| |
|
| | This model is a fine-tuned version t5 Model on SQuAD and r/depression_help Data. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.4731 |
| | |
| | ## 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: 0.0001 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.9133 | 2.87 | 100 | 3.5685 | |
| | | 3.7034 | 5.75 | 200 | 3.4987 | |
| | | 3.6402 | 8.62 | 300 | 3.4731 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.3 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
|
