KUCI_CRAB_albert_base_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_albert_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3181
- F1: 0.3705
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
1.3303 | 1.0 | 1299 | 1.3222 | 0.3685 |
1.3238 | 2.0 | 2598 | 1.3190 | 0.3720 |
1.3202 | 3.0 | 3897 | 1.3154 | 0.3696 |
1.3136 | 4.0 | 5196 | 1.3207 | 0.3704 |
1.3095 | 5.0 | 6495 | 1.3181 | 0.3705 |
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_albert_base_finetuned
Base model
albert/albert-base-v2
Finetuned
Ariffiq99/CRAB_albert_base_finetuned