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binding-domain-lstm-1
CLMBR/binding-domain-lstm-1
binding-domain-lstm-1 is a machine learning model from CLMBR. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- rnn
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Jan 22, 2024
- SHA
- 3712b10a
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. -->
binding-domain-lstm-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9703
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7897 | 0.03 | 76320 | 4.7528 |
| 4.5051 | 1.03 | 152640 | 4.4733 |
| 4.3636 | 0.03 | 228960 | 4.3387 |
| 4.2773 | 1.03 | 305280 | 4.2552 |
| 4.2163 | 0.03 | 381600 | 4.1992 |
| 4.1685 | 1.03 | 457920 | 4.1581 |
| 4.1298 | 0.03 | 534240 | 4.1273 |
| 4.0974 | 1.03 | 610560 | 4.1034 |
| 4.0689 | 0.03 | 686880 | 4.0841 |
| 4.0475 | 1.03 | 763200 | 4.0684 |
| 4.0258 | 0.03 | 839520 | 4.0556 |
| 4.009 | 1.03 | 915840 | 4.0444 |
| 3.9935 | 0.03 | 992160 | 4.0360 |
| 3.9749 | 1.03 | 1068480 | 4.0273 |
| 3.961 | 0.03 | 1144800 | 4.0209 |
| 3.95 | 1.03 | 1221120 | 4.0154 |
| 3.937 | 0.03 | 1297440 | 4.0103 |
| 3.9268 | 1.03 | 1373760 | 4.0055 |
| 3.9213 | 0.03 | 1450080 | 4.0021 |
| 3.9164 | 1.03 | 1526400 | 3.9979 |
| 3.913 | 0.03 | 1602720 | 3.9946 |
| 3.9087 | 1.03 | 1679040 | 3.9915 |
| 3.9019 | 0.03 | 1755360 | 3.9892 |
| 3.8956 | 1.03 | 1831680 | 3.9866 |
| 3.8888 | 0.03 | 1908000 | 3.9847 |
| 3.8821 | 1.03 | 1984320 | 3.9830 |
| 3.8759 | 0.03 | 2060640 | 3.9815 |
| 3.8717 | 1.03 | 2136960 | 3.9800 |
| 3.8674 | 0.03 | 2213280 | 3.9786 |
| 3.8604 | 1.03 | 2289600 | 3.9771 |
| 3.8551 | 0.03 | 2365920 | 3.9759 |
| 3.8533 | 1.03 | 2442240 | 3.9750 |
| 3.8471 | 0.03 | 2518560 | 3.9741 |
| 3.8429 | 1.03 | 2594880 | 3.9731 |
| 3.8412 | 0.03 | 2671200 | 3.9726 |
| 3.8453 | 1.03 | 2747520 | 3.9719 |
| 3.846 | 0.03 | 2823840 | 3.9713 |
| 3.8478 | 1.03 | 2900160 | 3.9708 |
| 3.845 | 0.03 | 2976480 | 3.9705 |
| 3.8424 | 0.02 | 3052726 | 3.9703 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 17, 2024
- Updated
- Jan 22, 2024