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passive-lstm-1
CLMBR/passive-lstm-1
passive-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 29, 2024
- Updated
- Feb 4, 2024
- SHA
- 9c4e5161
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. -->
passive-lstm-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9752
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 |
|---|---|---|---|
| 4.786 | 0.03 | 76320 | 4.7548 |
| 4.5038 | 1.03 | 152640 | 4.4770 |
| 4.3578 | 0.03 | 228960 | 4.3425 |
| 4.2754 | 1.03 | 305280 | 4.2601 |
| 4.2103 | 0.03 | 381600 | 4.2042 |
| 4.167 | 1.03 | 457920 | 4.1633 |
| 4.1277 | 0.03 | 534240 | 4.1333 |
| 4.0937 | 1.03 | 610560 | 4.1091 |
| 4.0654 | 0.03 | 686880 | 4.0896 |
| 4.0421 | 0.03 | 763200 | 4.0738 |
| 4.0183 | 1.03 | 839520 | 4.0603 |
| 4.0005 | 0.03 | 915840 | 4.0497 |
| 3.9827 | 1.03 | 992160 | 4.0406 |
| 3.9616 | 0.03 | 1068480 | 4.0328 |
| 3.9518 | 1.03 | 1144800 | 4.0262 |
| 3.9451 | 0.03 | 1221120 | 4.0199 |
| 3.9351 | 1.03 | 1297440 | 4.0155 |
| 3.927 | 0.03 | 1373760 | 4.0110 |
| 3.9139 | 1.03 | 1450080 | 4.0067 |
| 3.9136 | 0.03 | 1526400 | 4.0030 |
| 3.9056 | 1.03 | 1602720 | 4.0003 |
| 3.9037 | 0.03 | 1679040 | 3.9974 |
| 3.8981 | 1.03 | 1755360 | 3.9947 |
| 3.8921 | 0.03 | 1831680 | 3.9926 |
| 3.8817 | 1.03 | 1908000 | 3.9909 |
| 3.8764 | 0.03 | 1984320 | 3.9887 |
| 3.867 | 1.03 | 2060640 | 3.9868 |
| 3.8619 | 0.03 | 2136960 | 3.9857 |
| 3.8544 | 1.03 | 2213280 | 3.9842 |
| 3.8438 | 0.03 | 2289600 | 3.9830 |
| 3.842 | 1.03 | 2365920 | 3.9820 |
| 3.8454 | 0.03 | 2442240 | 3.9809 |
| 3.8413 | 1.03 | 2518560 | 3.9797 |
| 3.8398 | 0.03 | 2594880 | 3.9790 |
| 3.8337 | 1.03 | 2671200 | 3.9779 |
| 3.8391 | 0.03 | 2747520 | 3.9774 |
| 3.8369 | 1.03 | 2823840 | 3.9768 |
| 3.839 | 0.03 | 2900160 | 3.9761 |
| 3.8394 | 1.03 | 2976480 | 3.9755 |
| 3.8356 | 0.02 | 3052726 | 3.9752 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 29, 2024
- Updated
- Feb 4, 2024