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COPA_CRAB_Bert_Base_Uncased_Finetuned
Ariffiq99/COPA_CRAB_Bert_Base_Uncased_Finetuned
COPA_CRAB_Bert_Base_Uncased_Finetuned is a multiple choice model from Ariffiq99. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- 586ee23b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
COPA_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: 0.6690
- F1: 0.7181
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 | 0.6481 | 0.6345 |
| No log | 2.0 | 126 | 0.5997 | 0.6829 |
| No log | 3.0 | 189 | 0.5723 | 0.6944 |
| No log | 4.0 | 252 | 0.5751 | 0.6898 |
| No log | 5.0 | 315 | 0.5906 | 0.7149 |
| No log | 6.0 | 378 | 0.6036 | 0.7273 |
| No log | 7.0 | 441 | 0.6245 | 0.7280 |
| 0.4609 | 8.0 | 504 | 0.6476 | 0.7213 |
| 0.4609 | 9.0 | 567 | 0.6688 | 0.7181 |
| 0.4609 | 10.0 | 630 | 0.6690 | 0.7181 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024