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old-rel-cl-lstm-3
CLMBR/old-rel-cl-lstm-3
old-rel-cl-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 12, 2024
- Updated
- Jan 16, 2024
- SHA
- 9a8aa413
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. -->
rel-cl-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9834
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 |
|---|---|---|---|
| 4.8333 | 0.03 | 76319 | 4.7955 |
| 4.5414 | 1.03 | 152638 | 4.5069 |
| 4.3958 | 0.03 | 228957 | 4.3693 |
| 4.3064 | 1.03 | 305276 | 4.2841 |
| 4.2412 | 0.03 | 381595 | 4.2253 |
| 4.1888 | 1.03 | 457914 | 4.1822 |
| 4.1518 | 0.03 | 534233 | 4.1503 |
| 4.1231 | 1.03 | 610552 | 4.1251 |
| 4.0901 | 0.03 | 686871 | 4.1043 |
| 4.0684 | 1.03 | 763190 | 4.0883 |
| 4.0494 | 0.03 | 839509 | 4.0748 |
| 4.0311 | 1.03 | 915828 | 4.0629 |
| 4.0094 | 0.03 | 992147 | 4.0531 |
| 3.9984 | 1.03 | 1068466 | 4.0447 |
| 3.9843 | 0.03 | 1144785 | 4.0374 |
| 3.9745 | 1.03 | 1221104 | 4.0315 |
| 3.9639 | 0.03 | 1297424 | 4.0246 |
| 3.9518 | 1.03 | 1373744 | 4.0196 |
| 3.9425 | 0.03 | 1450064 | 4.0152 |
| 3.9366 | 1.03 | 1526384 | 4.0120 |
| 3.9314 | 0.03 | 1602704 | 4.0092 |
| 3.9281 | 1.03 | 1679024 | 4.0062 |
| 3.9248 | 0.03 | 1755344 | 4.0037 |
| 3.9168 | 1.03 | 1831664 | 4.0010 |
| 3.9081 | 0.03 | 1907984 | 3.9989 |
| 3.9019 | 1.03 | 1984304 | 3.9969 |
| 3.8948 | 0.03 | 2060624 | 3.9948 |
| 3.891 | 1.03 | 2136944 | 3.9935 |
| 3.8871 | 0.03 | 2213264 | 3.9923 |
| 3.8802 | 1.03 | 2289584 | 3.9913 |
| 3.8797 | 0.03 | 2365904 | 3.9902 |
| 3.8769 | 1.03 | 2442224 | 3.9892 |
| 3.8733 | 0.03 | 2518544 | 3.9886 |
| 3.8671 | 1.03 | 2594864 | 3.9875 |
| 3.8637 | 0.03 | 2671184 | 3.9867 |
| 3.8642 | 1.03 | 2747504 | 3.9858 |
| 3.8642 | 0.03 | 2823824 | 3.9848 |
| 3.8653 | 1.03 | 2900144 | 3.9842 |
| 3.8671 | 0.03 | 2976464 | 3.9836 |
| 3.8639 | 0.02 | 3052726 | 3.9834 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 12, 2024
- Updated
- Jan 16, 2024