Downloads · 30 days
1
1% of all-time downloads
bert-base-uncased-BiLSTM-Optiparam-SQuAD-V1
allistair99/bert-base-uncased-BiLSTM-Optiparam-SQuAD-V1
bert-base-uncased-BiLSTM-Optiparam-SQuAD-V1 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. --
All-time downloads
123
Public
Parameters
112M
450 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors450 MB · 100%
At a glance
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 7, 2025
- Updated
- May 7, 2025
- SHA
- 45afeabf
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. -->
bert-base-uncased-BiLSTM-Optiparam-SQuAD-V1
This model is a fine-tuned version of csarron/bert-base-uncased-squad-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0271
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6117 | 1.0 | 14619 | 1.0265 |
| 0.5679 | 2.0 | 29238 | 1.0271 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- mit
- Created
- May 7, 2025
- Updated
- May 7, 2025