metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_eli_squad_aug_exp_pcmq
results: []
t5-base-end2end-questions-generation_eli_squad_aug_exp_pcmq
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9780
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: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.908 | 0.25 | 100 | 2.3338 |
| 2.3249 | 0.51 | 200 | 2.1620 |
| 2.2064 | 0.76 | 300 | 2.0901 |
| 2.1555 | 1.01 | 400 | 2.0549 |
| 2.0733 | 1.27 | 500 | 2.0278 |
| 2.0535 | 1.52 | 600 | 2.0134 |
| 2.0321 | 1.77 | 700 | 1.9984 |
| 2.0246 | 2.03 | 800 | 1.9943 |
| 1.9915 | 2.28 | 900 | 1.9835 |
| 1.98 | 2.53 | 1000 | 1.9798 |
| 1.9823 | 2.78 | 1100 | 1.9780 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3