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old-full-lstm-3
CLMBR/old-full-lstm-3
old-full-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 17, 2024
- SHA
- 4fa4577c
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. -->
full-lstm-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9685
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 |
|---|---|---|---|
| 4.7832 | 0.03 | 76319 | 4.7485 |
| 4.5027 | 0.03 | 152638 | 4.4708 |
| 4.3608 | 0.03 | 228957 | 4.3370 |
| 4.2693 | 1.03 | 305276 | 4.2557 |
| 4.2052 | 0.03 | 381595 | 4.2002 |
| 4.1539 | 1.03 | 457914 | 4.1587 |
| 4.1188 | 0.03 | 534233 | 4.1278 |
| 4.0903 | 0.03 | 610552 | 4.1043 |
| 4.0598 | 1.03 | 686871 | 4.0848 |
| 4.036 | 0.03 | 763190 | 4.0675 |
| 4.0172 | 1.03 | 839509 | 4.0550 |
| 4.001 | 0.03 | 915828 | 4.0447 |
| 3.9809 | 0.03 | 992147 | 4.0355 |
| 3.9667 | 0.03 | 1068467 | 4.0263 |
| 3.9546 | 1.03 | 1144787 | 4.0188 |
| 3.9525 | 0.03 | 1221107 | 4.0124 |
| 3.9332 | 1.03 | 1297427 | 4.0074 |
| 3.9251 | 0.03 | 1373747 | 4.0028 |
| 3.9148 | 1.03 | 1450067 | 3.9989 |
| 3.9065 | 0.03 | 1526387 | 3.9954 |
| 3.9044 | 1.03 | 1602707 | 3.9925 |
| 3.8995 | 0.03 | 1679027 | 3.9900 |
| 3.8994 | 0.03 | 1755347 | 3.9872 |
| 3.895 | 1.03 | 1831667 | 3.9849 |
| 3.8861 | 0.03 | 1907987 | 3.9832 |
| 3.8793 | 1.03 | 1984307 | 3.9809 |
| 3.8748 | 0.03 | 2060627 | 3.9785 |
| 3.8675 | 1.03 | 2136947 | 3.9774 |
| 3.8656 | 0.03 | 2213267 | 3.9760 |
| 3.8586 | 0.03 | 2289587 | 3.9746 |
| 3.8518 | 1.03 | 2365907 | 3.9738 |
| 3.85 | 0.03 | 2442227 | 3.9729 |
| 3.8407 | 1.03 | 2518547 | 3.9720 |
| 3.8388 | 0.03 | 2594867 | 3.9711 |
| 3.8321 | 1.03 | 2671187 | 3.9704 |
| 3.8326 | 0.03 | 2747507 | 3.9700 |
| 3.8354 | 0.03 | 2823827 | 3.9696 |
| 3.8349 | 1.03 | 2900147 | 3.9691 |
| 3.8397 | 0.03 | 2976467 | 3.9687 |
| 3.8387 | 0.02 | 3052726 | 3.9685 |
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 17, 2024