e_care_CRAB_COPA_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/CRAB_COPA_bert_base_uncased_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0229
- F1: 0.7441
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: 6
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.5911 | 1.0 | 933 | 0.4880 | 0.7380 |
0.3961 | 2.0 | 1866 | 0.5071 | 0.7408 |
0.2743 | 3.0 | 2799 | 0.6547 | 0.7441 |
0.1801 | 4.0 | 3732 | 0.8516 | 0.7465 |
0.129 | 5.0 | 4665 | 0.9710 | 0.7498 |
0.102 | 6.0 | 5598 | 1.0229 | 0.7441 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Downloads last month
- 2
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for Ariffiq99/e_care_CRAB_COPA_bert_base_uncased_finetuned
Base model
google-bert/bert-base-uncased