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mbay_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0621
- Bleu: 5.0201
- Gen Len: 14.5313
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.56 | 1.0 | 2479 | 2.3016 | 2.673 | 14.9178 |
| 2.4556 | 2.0 | 4958 | 2.2282 | 3.1563 | 15.0853 |
| 2.3879 | 3.0 | 7437 | 2.1786 | 3.5498 | 14.9548 |
| 2.3574 | 4.0 | 9916 | 2.1417 | 4.0704 | 15.0213 |
| 2.3192 | 5.0 | 12395 | 2.1145 | 4.4057 | 15.0418 |
| 2.3068 | 6.0 | 14874 | 2.0944 | 4.5467 | 14.9812 |
| 2.2855 | 7.0 | 17353 | 2.0796 | 4.7223 | 14.7415 |
| 2.2584 | 8.0 | 19832 | 2.0701 | 4.7772 | 14.5867 |
| 2.2302 | 9.0 | 22311 | 2.0637 | 4.9559 | 14.6012 |
| 2.2502 | 10.0 | 24790 | 2.0621 | 5.0201 | 14.5313 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
