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mlm-20230406-002-5
This model is a fine-tuned version of intanm/mlm-20230405-002-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7441
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 284 | 2.8540 |
| 3.1889 | 2.0 | 568 | 2.5429 |
| 3.1889 | 3.0 | 852 | 2.4145 |
| 2.5305 | 4.0 | 1136 | 2.2699 |
| 2.5305 | 5.0 | 1420 | 2.1402 |
| 2.2343 | 6.0 | 1704 | 2.1209 |
| 2.2343 | 7.0 | 1988 | 2.0147 |
| 2.0581 | 8.0 | 2272 | 1.9715 |
| 1.942 | 9.0 | 2556 | 1.9564 |
| 1.942 | 10.0 | 2840 | 1.9158 |
| 1.8372 | 11.0 | 3124 | 1.9038 |
| 1.8372 | 12.0 | 3408 | 1.8593 |
| 1.7595 | 13.0 | 3692 | 1.8076 |
| 1.7595 | 14.0 | 3976 | 1.8470 |
| 1.7023 | 15.0 | 4260 | 1.7716 |
| 1.6629 | 16.0 | 4544 | 1.7706 |
| 1.6629 | 17.0 | 4828 | 1.7681 |
| 1.629 | 18.0 | 5112 | 1.7283 |
| 1.629 | 19.0 | 5396 | 1.7673 |
| 1.5984 | 20.0 | 5680 | 1.7507 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
