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small-mlm-glue-mnli-from-scratch-custom-tokenizer-expand-vocab
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8936
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 |
---|---|---|---|
7.6238 | 0.4 | 500 | 6.6413 |
6.5141 | 0.8 | 1000 | 6.4438 |
6.3709 | 1.2 | 1500 | 6.2642 |
6.2388 | 1.6 | 2000 | 6.1712 |
6.1214 | 2.0 | 2500 | 6.1089 |
6.0474 | 2.4 | 3000 | 6.0607 |
5.9719 | 2.8 | 3500 | 5.9988 |
5.9333 | 3.2 | 4000 | 5.9619 |
5.9019 | 3.6 | 4500 | 5.9140 |
5.9164 | 4.0 | 5000 | 5.8936 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2