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binding-case-lstm-3
CLMBR/binding-case-lstm-3
binding-case-lstm-3 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
- 50cc1ba3
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-case-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9748
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: 3
- 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 |
|---|---|---|---|
| 4.793 | 0.03 | 76320 | 4.7610 |
| 4.5078 | 1.03 | 152640 | 4.4815 |
| 4.3662 | 0.03 | 228960 | 4.3454 |
| 4.2772 | 1.03 | 305280 | 4.2625 |
| 4.2165 | 0.03 | 381600 | 4.2062 |
| 4.1704 | 0.03 | 457920 | 4.1645 |
| 4.1336 | 1.03 | 534240 | 4.1334 |
| 4.0998 | 0.03 | 610560 | 4.1087 |
| 4.0754 | 0.03 | 686880 | 4.0897 |
| 4.0505 | 1.03 | 763200 | 4.0733 |
| 4.0282 | 0.03 | 839520 | 4.0602 |
| 4.0115 | 1.03 | 915840 | 4.0487 |
| 3.9943 | 0.03 | 992160 | 4.0396 |
| 3.9766 | 1.03 | 1068480 | 4.0313 |
| 3.9675 | 0.03 | 1144800 | 4.0246 |
| 3.9447 | 1.03 | 1221120 | 4.0192 |
| 3.9354 | 0.03 | 1297440 | 4.0142 |
| 3.9278 | 1.03 | 1373760 | 4.0092 |
| 3.918 | 0.03 | 1450080 | 4.0055 |
| 3.9146 | 1.03 | 1526400 | 4.0013 |
| 3.9107 | 0.03 | 1602720 | 3.9987 |
| 3.9089 | 1.03 | 1679040 | 3.9956 |
| 3.9035 | 0.03 | 1755360 | 3.9926 |
| 3.898 | 1.03 | 1831680 | 3.9903 |
| 3.8927 | 0.03 | 1908000 | 3.9885 |
| 3.8853 | 1.03 | 1984320 | 3.9868 |
| 3.8795 | 0.03 | 2060640 | 3.9850 |
| 3.876 | 0.03 | 2136960 | 3.9838 |
| 3.871 | 1.03 | 2213280 | 3.9824 |
| 3.8615 | 0.03 | 2289600 | 3.9814 |
| 3.8613 | 1.03 | 2365920 | 3.9803 |
| 3.8485 | 0.03 | 2442240 | 3.9792 |
| 3.8443 | 1.03 | 2518560 | 3.9786 |
| 3.8438 | 0.03 | 2594880 | 3.9778 |
| 3.8407 | 0.03 | 2671200 | 3.9770 |
| 3.842 | 1.03 | 2747520 | 3.9764 |
| 3.8433 | 0.03 | 2823840 | 3.9758 |
| 3.8447 | 0.03 | 2900160 | 3.9755 |
| 3.8456 | 0.03 | 2976480 | 3.9751 |
| 3.8445 | 0.02 | 3052726 | 3.9748 |
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