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binding-reconstruction-lstm-2
CLMBR/binding-reconstruction-lstm-2
binding-reconstruction-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
- fbe0dabb
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-reconstruction-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9684
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 |
|---|---|---|---|
| 4.7955 | 0.03 | 76320 | 4.7622 |
| 4.5075 | 1.03 | 152640 | 4.4804 |
| 4.365 | 0.03 | 228960 | 4.3439 |
| 4.279 | 1.03 | 305280 | 4.2600 |
| 4.2159 | 0.03 | 381600 | 4.2030 |
| 4.1659 | 1.03 | 457920 | 4.1616 |
| 4.129 | 0.03 | 534240 | 4.1308 |
| 4.097 | 1.03 | 610560 | 4.1059 |
| 4.0694 | 0.03 | 686880 | 4.0865 |
| 4.043 | 0.03 | 763200 | 4.0705 |
| 4.0225 | 1.03 | 839520 | 4.0564 |
| 4.0072 | 0.03 | 915840 | 4.0457 |
| 3.9891 | 1.03 | 992160 | 4.0368 |
| 3.9735 | 0.03 | 1068480 | 4.0282 |
| 3.9577 | 1.03 | 1144800 | 4.0212 |
| 3.9477 | 0.03 | 1221120 | 4.0153 |
| 3.9363 | 1.03 | 1297440 | 4.0094 |
| 3.9261 | 0.03 | 1373760 | 4.0047 |
| 3.9158 | 1.03 | 1450080 | 4.0007 |
| 3.9144 | 0.03 | 1526400 | 3.9970 |
| 3.9096 | 1.03 | 1602720 | 3.9949 |
| 3.9016 | 0.03 | 1679040 | 3.9916 |
| 3.8963 | 1.03 | 1755360 | 3.9893 |
| 3.8925 | 0.03 | 1831680 | 3.9868 |
| 3.8855 | 1.03 | 1908000 | 3.9845 |
| 3.8774 | 0.03 | 1984320 | 3.9826 |
| 3.8719 | 1.03 | 2060640 | 3.9810 |
| 3.8686 | 0.03 | 2136960 | 3.9795 |
| 3.8668 | 1.03 | 2213280 | 3.9783 |
| 3.8572 | 0.03 | 2289600 | 3.9767 |
| 3.8508 | 1.03 | 2365920 | 3.9751 |
| 3.8493 | 0.03 | 2442240 | 3.9735 |
| 3.8447 | 1.03 | 2518560 | 3.9727 |
| 3.8411 | 0.03 | 2594880 | 3.9715 |
| 3.8369 | 1.03 | 2671200 | 3.9710 |
| 3.8421 | 0.03 | 2747520 | 3.9704 |
| 3.8416 | 1.03 | 2823840 | 3.9697 |
| 3.842 | 0.03 | 2900160 | 3.9691 |
| 3.8382 | 1.03 | 2976480 | 3.9687 |
| 3.8363 | 0.02 | 3052726 | 3.9684 |
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