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bert-base-uncased-BiLSTM-SRH1K-V2
allistair99/bert-base-uncased-BiLSTM-SRH1K-V2
bert-base-uncased-BiLSTM-SRH1K-V2 is a machine learning model from allistair99. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025
- SHA
- 7a3491c2
Base models
Datasets
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. -->
bert-base-uncased-BiLSTM-SRH1K-V2
This model is a fine-tuned version of csarron/bert-base-uncased-squad-v1 on the srh1_k dataset. It achieves the following results on the evaluation set:
- Loss: 1.7160
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: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 186 | 2.0668 |
| No log | 2.0 | 372 | 1.7572 |
| 2.4675 | 3.0 | 558 | 1.7160 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- mit
- Created
- Jul 30, 2025
- Updated
- Jul 30, 2025