Downloads · 30 days
3
1% of all-time downloads
scibert_claim_id_3e-05
atrytone/scibert_claim_id_3e-05
scibert_claim_id_3e-05 is a text classification model from atrytone. 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. --
All-time downloads
379
Public
Repo size
3.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 23, 2023
- Updated
- May 23, 2023
- SHA
- 8fafaaea
Try a prompt
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. -->
scibert_claim_id_3e-05
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: 0.0071
- Accuracy: 0.9980
- F1: 0.9935
- Precision: 0.9957
- Recall: 0.9914
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3163 | 1.0 | 666 | 0.2554 | 0.8884 | 0.5534 | 0.7437 | 0.4407 |
| 0.2673 | 2.0 | 1332 | 0.1671 | 0.9361 | 0.7850 | 0.8309 | 0.7439 |
| 0.2188 | 3.0 | 1998 | 0.0689 | 0.9769 | 0.9268 | 0.9232 | 0.9303 |
| 0.0925 | 4.0 | 2664 | 0.0369 | 0.9879 | 0.9624 | 0.9428 | 0.9827 |
| 0.0635 | 5.0 | 3330 | 0.0109 | 0.9971 | 0.9909 | 0.9928 | 0.9889 |
| 0.038 | 6.0 | 3996 | 0.0071 | 0.9980 | 0.9935 | 0.9957 | 0.9914 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 23, 2023
- Updated
- May 23, 2023