small-mlm-snli-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: 5.1728
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 |
---|---|---|---|
6.068 | 0.4 | 500 | 5.8768 |
5.3059 | 0.8 | 1000 | 5.7852 |
5.0616 | 1.2 | 1500 | 5.6571 |
4.9474 | 1.6 | 2000 | 5.6746 |
4.8516 | 2.0 | 2500 | 5.6188 |
4.7203 | 2.4 | 3000 | 5.4950 |
4.593 | 2.8 | 3500 | 5.4927 |
4.4966 | 3.2 | 4000 | 5.3213 |
4.3747 | 3.6 | 4500 | 5.2469 |
4.2136 | 4.0 | 5000 | 5.1728 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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