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full-lstm-0
CLMBR/full-lstm-0
full-lstm-0 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 3, 2024
- SHA
- d916458e
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. -->
full2-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9726
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: 0
- 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 |
|---|---|---|---|
| 4.7998 | 0.03 | 76320 | 4.7682 |
| 4.5113 | 1.03 | 152640 | 4.4833 |
| 4.3656 | 0.03 | 228960 | 4.3470 |
| 4.2808 | 1.03 | 305280 | 4.2632 |
| 4.2151 | 0.03 | 381600 | 4.2061 |
| 4.17 | 0.03 | 457920 | 4.1647 |
| 4.1358 | 1.03 | 534240 | 4.1329 |
| 4.1038 | 0.03 | 610560 | 4.1080 |
| 4.0759 | 1.03 | 686880 | 4.0886 |
| 4.0515 | 0.03 | 763200 | 4.0722 |
| 4.0312 | 1.03 | 839520 | 4.0589 |
| 4.0129 | 0.03 | 915840 | 4.0478 |
| 4.0007 | 1.03 | 992160 | 4.0386 |
| 3.9838 | 0.03 | 1068480 | 4.0304 |
| 3.9688 | 1.03 | 1144800 | 4.0238 |
| 3.9562 | 0.03 | 1221120 | 4.0180 |
| 3.9415 | 1.03 | 1297440 | 4.0129 |
| 3.9309 | 0.03 | 1373760 | 4.0080 |
| 3.9178 | 1.03 | 1450080 | 4.0038 |
| 3.9189 | 0.03 | 1526400 | 4.0004 |
| 3.9119 | 1.03 | 1602720 | 3.9974 |
| 3.9059 | 0.03 | 1679040 | 3.9936 |
| 3.9076 | 1.03 | 1755360 | 3.9911 |
| 3.9022 | 0.03 | 1831680 | 3.9889 |
| 3.8923 | 1.03 | 1908000 | 3.9861 |
| 3.8881 | 0.03 | 1984320 | 3.9846 |
| 3.8813 | 1.03 | 2060640 | 3.9834 |
| 3.8772 | 0.03 | 2136960 | 3.9821 |
| 3.8762 | 0.03 | 2213280 | 3.9805 |
| 3.869 | 1.03 | 2289600 | 3.9791 |
| 3.8621 | 0.03 | 2365920 | 3.9779 |
| 3.8579 | 0.03 | 2442240 | 3.9772 |
| 3.8495 | 1.03 | 2518560 | 3.9763 |
| 3.8465 | 0.03 | 2594880 | 3.9757 |
| 3.8429 | 0.03 | 2671200 | 3.9751 |
| 3.846 | 1.03 | 2747520 | 3.9743 |
| 3.8439 | 0.03 | 2823840 | 3.9737 |
| 3.8466 | 0.03 | 2900160 | 3.9731 |
| 3.8495 | 1.03 | 2976480 | 3.9729 |
| 3.8507 | 0.02 | 3052726 | 3.9726 |
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 3, 2024