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binding-case-lstm-2
CLMBR/binding-case-lstm-2
binding-case-lstm-2 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
- 7d514499
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-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9732
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: 2
- 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 |
|---|---|---|---|
| 4.7896 | 0.03 | 76320 | 4.7570 |
| 4.5056 | 1.03 | 152640 | 4.4776 |
| 4.3639 | 0.03 | 228960 | 4.3428 |
| 4.2748 | 1.03 | 305280 | 4.2598 |
| 4.2152 | 0.03 | 381600 | 4.2038 |
| 4.1683 | 0.03 | 457920 | 4.1630 |
| 4.1315 | 1.03 | 534240 | 4.1321 |
| 4.0972 | 0.03 | 610560 | 4.1075 |
| 4.071 | 0.03 | 686880 | 4.0878 |
| 4.0465 | 1.03 | 763200 | 4.0719 |
| 4.0256 | 0.03 | 839520 | 4.0583 |
| 4.0112 | 1.03 | 915840 | 4.0480 |
| 3.9916 | 0.03 | 992160 | 4.0378 |
| 3.9742 | 1.03 | 1068480 | 4.0300 |
| 3.9673 | 0.03 | 1144800 | 4.0234 |
| 3.9429 | 1.03 | 1221120 | 4.0180 |
| 3.9312 | 0.03 | 1297440 | 4.0124 |
| 3.9237 | 1.03 | 1373760 | 4.0079 |
| 3.9162 | 0.03 | 1450080 | 4.0047 |
| 3.9118 | 1.03 | 1526400 | 4.0011 |
| 3.9087 | 0.03 | 1602720 | 3.9978 |
| 3.9046 | 1.03 | 1679040 | 3.9952 |
| 3.8998 | 0.03 | 1755360 | 3.9928 |
| 3.8938 | 1.03 | 1831680 | 3.9903 |
| 3.8883 | 0.03 | 1908000 | 3.9883 |
| 3.8836 | 1.03 | 1984320 | 3.9859 |
| 3.8759 | 0.03 | 2060640 | 3.9840 |
| 3.8724 | 1.03 | 2136960 | 3.9824 |
| 3.8654 | 0.03 | 2213280 | 3.9808 |
| 3.8605 | 1.03 | 2289600 | 3.9793 |
| 3.8586 | 0.03 | 2365920 | 3.9784 |
| 3.8453 | 1.03 | 2442240 | 3.9775 |
| 3.8408 | 0.03 | 2518560 | 3.9766 |
| 3.8392 | 1.03 | 2594880 | 3.9762 |
| 3.8369 | 0.03 | 2671200 | 3.9754 |
| 3.8385 | 1.03 | 2747520 | 3.9749 |
| 3.8411 | 0.03 | 2823840 | 3.9744 |
| 3.84 | 0.03 | 2900160 | 3.9740 |
| 3.8412 | 1.03 | 2976480 | 3.9735 |
| 3.842 | 0.02 | 3052726 | 3.9732 |
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