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t5-base_cola_dense_epochs-6
This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4516
- Accuracy: 0.8150
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5922 | 0.19 | 50 | 0.5552 | 0.6913 |
| 0.4661 | 0.37 | 100 | 0.5390 | 0.7891 |
| 0.5097 | 0.56 | 150 | 0.4639 | 0.7929 |
| 0.3977 | 0.75 | 200 | 0.4841 | 0.8150 |
| 0.4205 | 0.93 | 250 | 0.5351 | 0.8169 |
| 0.3427 | 1.12 | 300 | 0.4983 | 0.8265 |
| 0.3216 | 1.31 | 350 | 0.4590 | 0.8198 |
| 0.3486 | 1.49 | 400 | 0.4620 | 0.8207 |
| 0.3683 | 1.68 | 450 | 0.5333 | 0.8274 |
| 0.4098 | 1.87 | 500 | 0.4516 | 0.8150 |
| 0.2971 | 2.05 | 550 | 0.5464 | 0.8332 |
| 0.2701 | 2.24 | 600 | 0.5428 | 0.8322 |
| 0.2758 | 2.43 | 650 | 0.5045 | 0.8255 |
| 0.2417 | 2.61 | 700 | 0.5153 | 0.8313 |
| 0.334 | 2.8 | 750 | 0.5276 | 0.8332 |
| 0.2691 | 2.99 | 800 | 0.5262 | 0.8313 |
| 0.2542 | 3.17 | 850 | 0.5558 | 0.8351 |
| 0.285 | 3.36 | 900 | 0.5150 | 0.8370 |
| 0.2593 | 3.54 | 950 | 0.5291 | 0.8293 |
| 0.3295 | 3.73 | 1000 | 0.5216 | 0.8303 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.9.0
- Tokenizers 0.14.1
