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old-pp-mod-subj-lstm-0
CLMBR/old-pp-mod-subj-lstm-0
old-pp-mod-subj-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 12, 2024
- Updated
- Jan 16, 2024
- SHA
- 01195bb2
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. -->
pp-mod-subj-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0221
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 |
|---|---|---|---|
| 4.7923 | 0.03 | 76319 | 4.8102 |
| 4.5063 | 1.03 | 152638 | 4.5307 |
| 4.365 | 0.03 | 228957 | 4.3961 |
| 4.2747 | 1.03 | 305276 | 4.3126 |
| 4.212 | 0.03 | 381595 | 4.2551 |
| 4.1642 | 1.03 | 457914 | 4.2132 |
| 4.1266 | 0.03 | 534233 | 4.1807 |
| 4.0965 | 1.03 | 610552 | 4.1574 |
| 4.0676 | 0.03 | 686871 | 4.1386 |
| 4.0454 | 1.03 | 763190 | 4.1230 |
| 4.0256 | 0.03 | 839509 | 4.1096 |
| 4.0096 | 0.03 | 915828 | 4.0983 |
| 3.9875 | 1.03 | 992147 | 4.0892 |
| 3.9708 | 0.03 | 1068466 | 4.0805 |
| 3.9619 | 1.03 | 1144785 | 4.0743 |
| 3.9492 | 0.03 | 1221104 | 4.0677 |
| 3.9395 | 1.03 | 1297423 | 4.0635 |
| 3.9333 | 0.03 | 1373743 | 4.0583 |
| 3.9224 | 1.03 | 1450063 | 4.0539 |
| 3.9179 | 0.03 | 1526383 | 4.0510 |
| 3.9137 | 1.03 | 1602703 | 4.0476 |
| 3.9059 | 2.03 | 1679023 | 4.0453 |
| 3.8991 | 0.03 | 1755343 | 4.0420 |
| 3.8915 | 1.03 | 1831663 | 4.0406 |
| 3.8835 | 2.03 | 1907983 | 4.0377 |
| 3.88 | 0.03 | 1984303 | 4.0361 |
| 3.8762 | 1.03 | 2060623 | 4.0347 |
| 3.8699 | 0.03 | 2136943 | 4.0329 |
| 3.8691 | 0.03 | 2213263 | 4.0315 |
| 3.8616 | 1.03 | 2289583 | 4.0305 |
| 3.8593 | 0.03 | 2365903 | 4.0288 |
| 3.8529 | 1.03 | 2442223 | 4.0275 |
| 3.8463 | 0.03 | 2518543 | 4.0265 |
| 3.845 | 1.03 | 2594863 | 4.0255 |
| 3.8398 | 0.03 | 2671183 | 4.0249 |
| 3.8416 | 1.03 | 2747503 | 4.0241 |
| 3.8438 | 2.03 | 2823823 | 4.0235 |
| 3.8409 | 0.03 | 2900143 | 4.0229 |
| 3.8403 | 1.03 | 2976463 | 4.0227 |
| 3.8357 | 2.02 | 3052726 | 4.0221 |
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