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BERTModified-rawbert-finetuned-wikitext-test
Sreenamol/BERTModified-rawbert-finetuned-wikitext-test
BERTModified-rawbert-finetuned-wikitext-test is a machine learning model from Sreenamol. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Mar 20, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024
- SHA
- 4cfc02a9
Base models
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. -->
BERTModified-rawbert-finetuned-wikitext-test
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: 20.8186
- Precision: 0.0476
- Recall: 0.0476
- F1: 0.0476
- Accuracy: 0.0476
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 21.0846 | 1.0 | 25 | 20.9953 | 0.0114 | 0.0114 | 0.0114 | 0.0114 |
| 17.8286 | 2.0 | 50 | 20.7823 | 0.0114 | 0.0114 | 0.0114 | 0.0114 |
| 15.1916 | 3.0 | 75 | 20.7021 | 0.0171 | 0.0171 | 0.0171 | 0.0171 |
| 12.7015 | 4.0 | 100 | 20.6023 | 0.0248 | 0.0248 | 0.0248 | 0.0248 |
| 10.852 | 5.0 | 125 | 20.5528 | 0.0324 | 0.0324 | 0.0324 | 0.0324 |
| 9.2624 | 6.0 | 150 | 20.5556 | 0.0324 | 0.0324 | 0.0324 | 0.0324 |
| 7.8348 | 7.0 | 175 | 20.5343 | 0.0343 | 0.0343 | 0.0343 | 0.0343 |
| 6.762 | 8.0 | 200 | 20.5861 | 0.0381 | 0.0381 | 0.0381 | 0.0381 |
| 5.8667 | 9.0 | 225 | 20.6005 | 0.0381 | 0.0381 | 0.0381 | 0.0381 |
| 5.184 | 10.0 | 250 | 20.6594 | 0.0438 | 0.0438 | 0.0438 | 0.0438 |
| 4.4605 | 11.0 | 275 | 20.6880 | 0.0457 | 0.0457 | 0.0457 | 0.0457 |
| 4.106 | 12.0 | 300 | 20.7090 | 0.0457 | 0.0457 | 0.0457 | 0.0457 |
| 3.622 | 13.0 | 325 | 20.7341 | 0.0457 | 0.0457 | 0.0457 | 0.0457 |
| 3.3097 | 14.0 | 350 | 20.7556 | 0.0476 | 0.0476 | 0.0476 | 0.0476 |
| 3.0423 | 15.0 | 375 | 20.8040 | 0.0495 | 0.0495 | 0.0495 | 0.0495 |
| 2.8348 | 16.0 | 400 | 20.8144 | 0.0533 | 0.0533 | 0.0533 | 0.0533 |
| 2.6718 | 17.0 | 425 | 20.8144 | 0.0495 | 0.0495 | 0.0495 | 0.0495 |
| 2.5584 | 18.0 | 450 | 20.8312 | 0.0533 | 0.0533 | 0.0533 | 0.0533 |
| 2.4502 | 19.0 | 475 | 20.8228 | 0.0514 | 0.0514 | 0.0514 | 0.0514 |
| 2.4219 | 20.0 | 500 | 20.8194 | 0.0514 | 0.0514 | 0.0514 | 0.0514 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- License
- apache-2.0
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024