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small-mlm-tweet_eval-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: 8.3489
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 |
---|---|---|---|
7.8692 | 1.23 | 500 | 8.0216 |
7.1727 | 2.45 | 1000 | 8.0836 |
7.1072 | 3.68 | 1500 | 8.1879 |
6.9769 | 4.9 | 2000 | 7.9914 |
6.8654 | 6.13 | 2500 | 8.1122 |
6.8821 | 7.35 | 3000 | 8.1989 |
6.7578 | 8.58 | 3500 | 8.3489 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2