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masked-sentence-generation
This model is a fine-tuned version of TasmiaAzmi/masked-sentence-generation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6685
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8159 | 0.98 | 100 | 2.6620 |
| 2.7161 | 1.96 | 200 | 2.6630 |
| 2.6516 | 2.94 | 300 | 2.6663 |
| 2.6142 | 3.92 | 400 | 2.6685 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.11.0
