metadata
tags:
- generated_from_trainer
model-index:
- name: unifiedqa-v2-t5-base-1363200-finetuned-causalqa-squad
results: []
unifiedqa-v2-t5-base-1363200-finetuned-causalqa-squad
This model is a fine-tuned version of allenai/unifiedqa-v2-t5-base-1363200 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7560
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1892 | 1.0 | 1479 | 3.7610 |
| 0.1514 | 2.0 | 2958 | 4.1694 |
| 0.0807 | 3.0 | 4437 | 4.5543 |
| 0.0381 | 4.0 | 5916 | 4.6654 |
| 0.0377 | 5.0 | 7395 | 4.7560 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2