metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-squad-qg-v2
results: []
t5-small-squad-qg-v2
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6608
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.6867 | 0.73 | 500 | 1.9647 |
2.0737 | 1.46 | 1000 | 1.8141 |
1.9364 | 2.19 | 1500 | 1.7515 |
1.8745 | 2.92 | 2000 | 1.7215 |
1.8282 | 3.65 | 2500 | 1.7042 |
1.803 | 4.38 | 3000 | 1.6913 |
1.7797 | 5.11 | 3500 | 1.6796 |
1.7592 | 5.84 | 4000 | 1.6749 |
1.7435 | 6.57 | 4500 | 1.6697 |
1.7427 | 7.3 | 5000 | 1.6667 |
1.7245 | 8.04 | 5500 | 1.6614 |
1.7211 | 8.77 | 6000 | 1.6621 |
1.7137 | 9.5 | 6500 | 1.6608 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.13.1
- Tokenizers 0.15.2