COPA_KUCI_e_care_CRAB_albert_base_finetuned
This model is a fine-tuned version of Ariffiq99/KUCI_e_care_CRAB_albert_Base_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9080
- F1: 0.598
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
No log | 1.0 | 63 | 0.7007 | 0.554 |
No log | 2.0 | 126 | 0.7032 | 0.568 |
No log | 3.0 | 189 | 0.7057 | 0.584 |
No log | 4.0 | 252 | 0.7114 | 0.59 |
No log | 5.0 | 315 | 0.7737 | 0.602 |
No log | 6.0 | 378 | 0.8065 | 0.6 |
No log | 7.0 | 441 | 0.8427 | 0.602 |
0.5691 | 8.0 | 504 | 0.8732 | 0.604 |
0.5691 | 9.0 | 567 | 0.8963 | 0.596 |
0.5691 | 10.0 | 630 | 0.9080 | 0.598 |
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/COPA_KUCI_e_care_CRAB_albert_base_finetuned
Base model
albert/albert-base-v2
Finetuned
Ariffiq99/COPA_albert_base_finetuned