KUCI_COPA_Bert_Base_Uncased_Finetuned
This model is a fine-tuned version of Ariffiq99/COPA_Bert_Base_Uncased_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1247
- F1: 0.5208
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.2021 | 1.0 | 5196 | 1.1920 | 0.4673 |
| 1.1512 | 2.0 | 10392 | 1.1492 | 0.4987 |
| 1.1004 | 3.0 | 15588 | 1.1244 | 0.5088 |
| 1.0617 | 4.0 | 20784 | 1.1205 | 0.5191 |
| 1.025 | 5.0 | 25980 | 1.1247 | 0.5208 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 6
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for Ariffiq99/KUCI_COPA_Bert_Base_Uncased_Finetuned
Base model
google-bert/bert-base-uncased