metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-pointer-mtop
results: []
t5-base-pointer-mtop
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1775
- Exact Match: 0.5468
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|---|---|---|---|---|
| 1.7749 | 6.65 | 200 | 0.5892 | 0.0031 |
| 0.6021 | 13.33 | 400 | 0.5160 | 0.0139 |
| 0.6044 | 19.98 | 600 | 0.4080 | 0.0532 |
| 0.3302 | 26.65 | 800 | 0.1865 | 0.3620 |
| 0.1483 | 33.33 | 1000 | 0.1267 | 0.5105 |
| 0.0768 | 39.98 | 1200 | 0.1131 | 0.5298 |
| 0.0525 | 46.65 | 1400 | 0.1219 | 0.5414 |
| 0.0801 | 53.33 | 1600 | 0.1186 | 0.5275 |
| 0.0331 | 59.98 | 1800 | 0.1306 | 0.5423 |
| 0.0254 | 66.65 | 2000 | 0.1396 | 0.5396 |
| 0.0168 | 73.33 | 2200 | 0.1560 | 0.5436 |
| 0.0129 | 79.98 | 2400 | 0.1659 | 0.5494 |
| 0.0105 | 86.65 | 2600 | 0.1699 | 0.5423 |
| 0.0088 | 93.33 | 2800 | 0.1742 | 0.5472 |
| 0.0077 | 99.98 | 3000 | 0.1775 | 0.5468 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2