bert_base_uncased
This model is a fine-tuned version of bert-base-uncased on the sentence_puzzle dataset. It achieves the following results on the evaluation set:
- Loss: 0.0932
- Accuracy: 0.9365
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 36 | 0.2763 | 0.9048 |
| No log | 2.0 | 72 | 0.2388 | 0.9206 |
| No log | 3.0 | 108 | 0.2465 | 0.9206 |
| No log | 4.0 | 144 | 0.0958 | 0.9206 |
| No log | 5.0 | 180 | 0.0932 | 0.9365 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for mohammadhossein/bert-base-uncased-riddle-finetuned
Base model
google-bert/bert-base-uncased