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results
JoeyLiow/results
results is a fill-mask model from JoeyLiow. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
results
This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2424
- Accuracy: 0.7451
- Precision: 0.7493
- Recall: 0.7451
- F1 Score: 0.7468
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| 1.6562 | 1.0 | 1483 | 1.6057 | 0.5142 | 0.5212 | 0.5142 | 0.4791 |
| 1.2593 | 2.0 | 2966 | 1.2195 | 0.7265 | 0.7344 | 0.7265 | 0.7296 |
| 1.243 | 3.0 | 4449 | 1.2424 | 0.7417 | 0.7379 | 0.7417 | 0.7351 |
| 1.242 | 4.0 | 5932 | 1.1913 | 0.7268 | 0.7521 | 0.7268 | 0.7367 |
| 1.1838 | 5.0 | 7415 | 1.2089 | 0.7315 | 0.7488 | 0.7315 | 0.7385 |
| 1.2212 | 6.0 | 8898 | 1.2035 | 0.7320 | 0.7498 | 0.7320 | 0.7395 |
| 1.0749 | 7.0 | 10381 | 1.2256 | 0.7310 | 0.7544 | 0.7310 | 0.7406 |
| 1.0961 | 8.0 | 11864 | 1.2273 | 0.7290 | 0.7528 | 0.7290 | 0.7387 |
| 1.118 | 9.0 | 13347 | 1.2552 | 0.7479 | 0.7515 | 0.7479 | 0.7489 |
| 1.0606 | 10.0 | 14830 | 1.2608 | 0.7309 | 0.7531 | 0.7309 | 0.7395 |
| 1.002 | 11.0 | 16313 | 1.3178 | 0.7378 | 0.7547 | 0.7378 | 0.7451 |
| 0.8984 | 12.0 | 17796 | 1.3219 | 0.7401 | 0.7560 | 0.7401 | 0.7469 |
| 0.9297 | 13.0 | 19279 | 1.3574 | 0.7366 | 0.7546 | 0.7366 | 0.7437 |
| 0.9262 | 14.0 | 20762 | 1.3390 | 0.7344 | 0.7565 | 0.7344 | 0.7428 |
| 0.9846 | 15.0 | 22245 | 1.3715 | 0.7472 | 0.7551 | 0.7472 | 0.7507 |
| 0.9031 | 16.0 | 23728 | 1.3681 | 0.7442 | 0.7567 | 0.7442 | 0.7493 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 6, 2025
- Updated
- May 6, 2025