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SciBERT-POWO_Climber_Finetuned
ViktorDo/SciBERT-POWO_Climber_Finetuned
SciBERT-POWO_Climber_Finetuned is a text classification model from ViktorDo. 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
- Oct 27, 2022
- Updated
- Oct 27, 2022
- SHA
- 9f02722d
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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-POWO_Climber_Finetuned
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: 0.1086
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1033 | 1.0 | 2133 | 0.1151 |
| 0.0853 | 2.0 | 4266 | 0.1058 |
| 0.0792 | 3.0 | 6399 | 0.1086 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 27, 2022
- Updated
- Oct 27, 2022