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tiny-mlm-glue-stsb-from-scratch-custom-tokenizer
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.2837
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
8.8837 | 0.7 | 500 | 8.1916 |
7.7017 | 1.39 | 1000 | 7.6245 |
7.2699 | 2.09 | 1500 | 7.3292 |
7.0522 | 2.78 | 2000 | 7.3882 |
7.0616 | 3.48 | 2500 | 7.2582 |
6.9478 | 4.17 | 3000 | 7.2783 |
6.8888 | 4.87 | 3500 | 7.1588 |
6.8816 | 5.56 | 4000 | 7.2253 |
6.8169 | 6.26 | 4500 | 7.2205 |
6.7911 | 6.95 | 5000 | 7.2837 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2