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rel-cl-lstm-1
CLMBR/rel-cl-lstm-1
rel-cl-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 26, 2024
- Updated
- Feb 2, 2024
- SHA
- 533ad9b3
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-cl2-lstm-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9820
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 |
|---|---|---|---|
| 4.8123 | 0.03 | 76320 | 4.7798 |
| 4.5274 | 1.03 | 152640 | 4.4945 |
| 4.3857 | 0.03 | 228960 | 4.3583 |
| 4.2964 | 1.03 | 305280 | 4.2751 |
| 4.2348 | 0.03 | 381600 | 4.2174 |
| 4.1869 | 1.03 | 457920 | 4.1758 |
| 4.1461 | 0.03 | 534240 | 4.1448 |
| 4.1147 | 1.03 | 610560 | 4.1197 |
| 4.0844 | 0.03 | 686880 | 4.0999 |
| 4.0589 | 1.03 | 763200 | 4.0835 |
| 4.0397 | 0.03 | 839520 | 4.0698 |
| 4.0201 | 1.03 | 915840 | 4.0580 |
| 4.002 | 0.03 | 992160 | 4.0486 |
| 3.9871 | 1.03 | 1068480 | 4.0411 |
| 3.9785 | 0.03 | 1144800 | 4.0342 |
| 3.9657 | 1.03 | 1221120 | 4.0282 |
| 3.9505 | 0.03 | 1297440 | 4.0227 |
| 3.9411 | 1.03 | 1373760 | 4.0180 |
| 3.9354 | 0.03 | 1450080 | 4.0133 |
| 3.927 | 1.03 | 1526400 | 4.0098 |
| 3.9227 | 0.03 | 1602720 | 4.0070 |
| 3.9201 | 0.03 | 1679040 | 4.0041 |
| 3.9119 | 1.03 | 1755360 | 4.0013 |
| 3.9052 | 0.03 | 1831680 | 3.9986 |
| 3.898 | 0.03 | 1908000 | 3.9967 |
| 3.8925 | 1.03 | 1984320 | 3.9946 |
| 3.8861 | 0.03 | 2060640 | 3.9932 |
| 3.8822 | 1.03 | 2136960 | 3.9917 |
| 3.8764 | 0.03 | 2213280 | 3.9898 |
| 3.8712 | 1.03 | 2289600 | 3.9878 |
| 3.8703 | 0.03 | 2365920 | 3.9872 |
| 3.8647 | 0.03 | 2442240 | 3.9861 |
| 3.859 | 1.03 | 2518560 | 3.9857 |
| 3.8551 | 0.03 | 2594880 | 3.9849 |
| 3.8554 | 1.03 | 2671200 | 3.9845 |
| 3.8535 | 0.03 | 2747520 | 3.9837 |
| 3.8554 | 1.03 | 2823840 | 3.9831 |
| 3.8568 | 0.03 | 2900160 | 3.9826 |
| 3.8537 | 1.03 | 2976480 | 3.9823 |
| 3.8532 | 2.02 | 3052726 | 3.9820 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 26, 2024
- Updated
- Feb 2, 2024