metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- top_v2
model-index:
- name: t5-small-pointer-top_v2
results: []
t5-small-pointer-top_v2
This model is a fine-tuned version of google/mt5-small on the top_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0306
- Exact Match: 0.8264
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 |
|---|---|---|---|---|
| 1.9316 | 0.82 | 200 | 0.4566 | 0.0084 |
| 0.3713 | 1.65 | 400 | 0.1473 | 0.1230 |
| 0.1747 | 2.47 | 600 | 0.0788 | 0.1984 |
| 0.1104 | 3.29 | 800 | 0.0568 | 0.2149 |
| 0.0842 | 4.12 | 1000 | 0.0473 | 0.2217 |
| 0.0694 | 4.94 | 1200 | 0.0426 | 0.2260 |
| 0.0603 | 5.76 | 1400 | 0.0383 | 0.2279 |
| 0.0534 | 6.58 | 1600 | 0.0367 | 0.2281 |
| 0.0477 | 7.41 | 1800 | 0.0347 | 0.2301 |
| 0.0441 | 8.23 | 2000 | 0.0334 | 0.2314 |
| 0.0413 | 9.05 | 2200 | 0.0323 | 0.2315 |
| 0.0387 | 9.88 | 2400 | 0.0316 | 0.2316 |
| 0.0366 | 10.7 | 2600 | 0.0311 | 0.2324 |
| 0.0358 | 11.52 | 2800 | 0.0307 | 0.2324 |
| 0.0343 | 12.35 | 3000 | 0.0306 | 0.2327 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2