metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-pointer-mtop
results: []
t5-small-pointer-mtop
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1317
- Exact Match: 0.5503
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- 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 |
|---|---|---|---|---|
| 2.0944 | 6.65 | 200 | 0.6548 | 0.0027 |
| 0.5307 | 13.33 | 400 | 0.2456 | 0.2779 |
| 0.2388 | 19.98 | 600 | 0.1486 | 0.4559 |
| 0.1459 | 26.65 | 800 | 0.1190 | 0.5043 |
| 0.1011 | 33.33 | 1000 | 0.1117 | 0.5230 |
| 0.0774 | 39.98 | 1200 | 0.1084 | 0.5374 |
| 0.0598 | 46.65 | 1400 | 0.1064 | 0.5405 |
| 0.0478 | 53.33 | 1600 | 0.1147 | 0.5454 |
| 0.0397 | 59.98 | 1800 | 0.1139 | 0.5472 |
| 0.0337 | 66.65 | 2000 | 0.1179 | 0.5481 |
| 0.0286 | 73.33 | 2200 | 0.1243 | 0.5499 |
| 0.0251 | 79.98 | 2400 | 0.1259 | 0.5481 |
| 0.0218 | 86.65 | 2600 | 0.1276 | 0.5503 |
| 0.0197 | 93.33 | 2800 | 0.1309 | 0.5503 |
| 0.0184 | 99.98 | 3000 | 0.1317 | 0.5503 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2