KUCI_CRAB_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_bert_base_uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1337
- F1: 0.5108
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.2152 | 1.0 | 5196 | 1.1927 | 0.4659 |
| 1.1585 | 2.0 | 10392 | 1.1525 | 0.4974 |
| 1.109 | 3.0 | 15588 | 1.1288 | 0.5069 |
| 1.0748 | 4.0 | 20784 | 1.1337 | 0.5108 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Ariffiq99/KUCI_CRAB_bert_base_uncased_finetuned
Base model
google-bert/bert-base-uncased