distilbert-base-uncased-fineturned-imdb
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3701
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3505 | 1.0 | 313 | 2.4010 |
| 2.4816 | 2.0 | 626 | 2.3496 |
| 2.4539 | 3.0 | 939 | 2.3805 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for cwtmyd/distilbert-base-uncased-fineturned-imdb
Base model
distilbert/distilbert-base-uncased