metadata
license: mit
base_model: valhalla/t5-small-e2e-qg
tags:
- generated_from_trainer
model-index:
- name: finetuned-baseline
results: []
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