tiny-mlm-rotten_tomatoes-custom-tokenizer
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.5806
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.3064 | 0.47 | 500 | 7.6122 |
| 7.4122 | 0.94 | 1000 | 7.5410 |
| 7.153 | 1.41 | 1500 | 7.4469 |
| 7.1952 | 1.87 | 2000 | 7.6796 |
| 7.0818 | 2.34 | 2500 | 7.5542 |
| 7.0123 | 2.81 | 3000 | 7.5806 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2