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re-irr-sv-agr-lstm-3
CLMBR/re-irr-sv-agr-lstm-3
re-irr-sv-agr-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 25, 2024
- Updated
- Jan 30, 2024
- SHA
- 8896951b
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. -->
re-irr-sv-agr-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9915
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 |
|---|---|---|---|
| 4.7907 | 0.03 | 76320 | 4.7798 |
| 4.5038 | 1.03 | 152640 | 4.4972 |
| 4.363 | 2.03 | 228960 | 4.3638 |
| 4.2777 | 0.03 | 305280 | 4.2803 |
| 4.2145 | 1.03 | 381600 | 4.2236 |
| 4.1703 | 2.03 | 457920 | 4.1822 |
| 4.133 | 0.03 | 534240 | 4.1512 |
| 4.0977 | 1.03 | 610560 | 4.1264 |
| 4.0708 | 2.03 | 686880 | 4.1068 |
| 4.0454 | 0.03 | 763200 | 4.0905 |
| 4.0224 | 1.03 | 839520 | 4.0775 |
| 4.01 | 0.03 | 915840 | 4.0666 |
| 3.996 | 1.03 | 992160 | 4.0564 |
| 3.9765 | 0.03 | 1068480 | 4.0495 |
| 3.9628 | 1.03 | 1144800 | 4.0427 |
| 3.946 | 0.03 | 1221120 | 4.0360 |
| 3.9308 | 0.03 | 1297440 | 4.0311 |
| 3.9241 | 1.03 | 1373760 | 4.0266 |
| 3.9126 | 2.03 | 1450080 | 4.0231 |
| 3.9133 | 0.03 | 1526400 | 4.0196 |
| 3.9074 | 1.03 | 1602720 | 4.0172 |
| 3.9082 | 0.03 | 1679040 | 4.0140 |
| 3.9023 | 1.03 | 1755360 | 4.0115 |
| 3.8936 | 0.03 | 1831680 | 4.0096 |
| 3.886 | 1.03 | 1908000 | 4.0071 |
| 3.8806 | 0.03 | 1984320 | 4.0050 |
| 3.8726 | 1.03 | 2060640 | 4.0030 |
| 3.8738 | 2.03 | 2136960 | 4.0020 |
| 3.8718 | 0.03 | 2213280 | 4.0006 |
| 3.8638 | 1.03 | 2289600 | 3.9990 |
| 3.8573 | 2.03 | 2365920 | 3.9973 |
| 3.8484 | 0.03 | 2442240 | 3.9964 |
| 3.8425 | 1.03 | 2518560 | 3.9954 |
| 3.8384 | 0.03 | 2594880 | 3.9946 |
| 3.8355 | 1.03 | 2671200 | 3.9941 |
| 3.8391 | 2.03 | 2747520 | 3.9933 |
| 3.8404 | 0.03 | 2823840 | 3.9928 |
| 3.8431 | 1.03 | 2900160 | 3.9923 |
| 3.843 | 0.03 | 2976480 | 3.9919 |
| 3.8394 | 1.02 | 3052726 | 3.9915 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 25, 2024
- Updated
- Jan 30, 2024