File size: 1,809 Bytes
56fc281 256c218 56fc281 b808ec5 56fc281 b808ec5 56fc281 b808ec5 56fc281 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
base_model: t5-base
model-index:
- name: t5-e2e-questions-generation
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. -->
# t5-e2e-questions-generation
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5634
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 295 | 1.6673 |
| 1.9714 | 2.0 | 590 | 1.6021 |
| 1.9714 | 3.0 | 885 | 1.5820 |
| 1.6225 | 4.0 | 1180 | 1.5665 |
| 1.6225 | 5.0 | 1475 | 1.5643 |
| 1.5252 | 6.0 | 1770 | 1.5676 |
| 1.4558 | 7.0 | 2065 | 1.5581 |
| 1.4558 | 8.0 | 2360 | 1.5600 |
| 1.4169 | 9.0 | 2655 | 1.5604 |
| 1.4169 | 10.0 | 2950 | 1.5634 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
|