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test_AsymmetricLoss_25K_bs64_P4_N1
bdpc/test_AsymmetricLoss_25K_bs64_P4_N1
test_AsymmetricLoss_25K_bs64_P4_N1 is a text classification model from bdpc. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 8, 2024
- Updated
- Feb 8, 2024
- SHA
- bcf29eb1
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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. -->
test_AsymmetricLoss_25K_bs64_P4_N1
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6203
- Accuracy: 0.7448
- Precision: 0.0101
- Recall: 0.2592
- F1: 0.0194
- Hamming: 0.2552
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: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming |
|---|---|---|---|---|---|---|---|---|
| 0.6901 | 0.0 | 5 | 0.6457 | 0.6626 | 0.0099 | 0.3394 | 0.0192 | 0.3374 |
| 0.6344 | 0.0 | 10 | 0.6203 | 0.7448 | 0.0101 | 0.2592 | 0.0194 | 0.2552 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.7.1
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 8, 2024
- Updated
- Feb 8, 2024