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binding-case-lstm-1
CLMBR/binding-case-lstm-1
binding-case-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
- ef5e0a15
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-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9755
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 |
|---|---|---|---|
| 4.7924 | 0.03 | 76320 | 4.7602 |
| 4.5106 | 1.03 | 152640 | 4.4828 |
| 4.3686 | 0.03 | 228960 | 4.3484 |
| 4.2818 | 1.03 | 305280 | 4.2658 |
| 4.2208 | 0.03 | 381600 | 4.2087 |
| 4.1729 | 1.03 | 457920 | 4.1670 |
| 4.1377 | 0.03 | 534240 | 4.1359 |
| 4.1036 | 1.03 | 610560 | 4.1114 |
| 4.0772 | 0.03 | 686880 | 4.0917 |
| 4.051 | 1.03 | 763200 | 4.0758 |
| 4.0311 | 0.03 | 839520 | 4.0628 |
| 4.0151 | 0.03 | 915840 | 4.0517 |
| 3.9948 | 1.03 | 992160 | 4.0416 |
| 3.9796 | 0.03 | 1068480 | 4.0333 |
| 3.9696 | 1.03 | 1144800 | 4.0269 |
| 3.945 | 0.03 | 1221120 | 4.0201 |
| 3.9365 | 1.03 | 1297440 | 4.0150 |
| 3.9275 | 0.03 | 1373760 | 4.0102 |
| 3.9194 | 0.03 | 1450080 | 4.0059 |
| 3.9172 | 0.03 | 1526400 | 4.0027 |
| 3.9165 | 1.03 | 1602720 | 4.0003 |
| 3.9104 | 0.03 | 1679040 | 3.9976 |
| 3.9082 | 1.03 | 1755360 | 3.9950 |
| 3.9015 | 0.03 | 1831680 | 3.9927 |
| 3.8959 | 0.03 | 1908000 | 3.9904 |
| 3.8881 | 1.03 | 1984320 | 3.9886 |
| 3.8811 | 0.03 | 2060640 | 3.9868 |
| 3.8784 | 1.03 | 2136960 | 3.9854 |
| 3.8738 | 0.03 | 2213280 | 3.9841 |
| 3.8653 | 1.03 | 2289600 | 3.9826 |
| 3.8638 | 0.03 | 2365920 | 3.9815 |
| 3.85 | 1.03 | 2442240 | 3.9802 |
| 3.8455 | 0.03 | 2518560 | 3.9792 |
| 3.8444 | 1.03 | 2594880 | 3.9784 |
| 3.8434 | 0.03 | 2671200 | 3.9779 |
| 3.8441 | 0.03 | 2747520 | 3.9773 |
| 3.848 | 0.03 | 2823840 | 3.9766 |
| 3.8476 | 1.03 | 2900160 | 3.9761 |
| 3.8487 | 0.03 | 2976480 | 3.9758 |
| 3.8471 | 1.02 | 3052726 | 3.9755 |
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