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pp-mod-subj-lstm-0
CLMBR/pp-mod-subj-lstm-0
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 26, 2024
- Updated
- Feb 2, 2024
- SHA
- c631f530
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-subj2-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0215
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 |
|---|---|---|---|
| 4.7865 | 0.03 | 76320 | 4.7973 |
| 4.502 | 1.03 | 152640 | 4.5167 |
| 4.3567 | 0.03 | 228960 | 4.3828 |
| 4.272 | 1.03 | 305280 | 4.3003 |
| 4.2106 | 2.03 | 381600 | 4.2449 |
| 4.1566 | 0.03 | 457920 | 4.2046 |
| 4.118 | 1.03 | 534240 | 4.1734 |
| 4.0851 | 0.03 | 610560 | 4.1498 |
| 4.0563 | 1.03 | 686880 | 4.1309 |
| 4.0367 | 0.03 | 763200 | 4.1159 |
| 4.0134 | 1.03 | 839520 | 4.1037 |
| 3.9977 | 2.03 | 915840 | 4.0930 |
| 3.9827 | 0.03 | 992160 | 4.0838 |
| 3.9706 | 1.03 | 1068480 | 4.0765 |
| 3.9551 | 2.03 | 1144800 | 4.0699 |
| 3.9406 | 0.03 | 1221120 | 4.0643 |
| 3.9305 | 1.03 | 1297440 | 4.0594 |
| 3.9228 | 2.03 | 1373760 | 4.0555 |
| 3.9128 | 0.03 | 1450080 | 4.0514 |
| 3.9095 | 1.03 | 1526400 | 4.0483 |
| 3.9058 | 2.03 | 1602720 | 4.0453 |
| 3.8955 | 0.03 | 1679040 | 4.0415 |
| 3.8886 | 1.03 | 1755360 | 4.0394 |
| 3.8803 | 2.03 | 1831680 | 4.0366 |
| 3.8745 | 0.03 | 1908000 | 4.0354 |
| 3.8719 | 1.03 | 1984320 | 4.0332 |
| 3.8664 | 0.03 | 2060640 | 4.0317 |
| 3.8623 | 1.03 | 2136960 | 4.0308 |
| 3.8597 | 0.03 | 2213280 | 4.0296 |
| 3.8551 | 1.03 | 2289600 | 4.0285 |
| 3.8488 | 0.03 | 2365920 | 4.0273 |
| 3.8429 | 0.03 | 2442240 | 4.0266 |
| 3.8403 | 0.03 | 2518560 | 4.0258 |
| 3.8406 | 1.03 | 2594880 | 4.0251 |
| 3.8341 | 0.03 | 2671200 | 4.0244 |
| 3.8346 | 1.03 | 2747520 | 4.0237 |
| 3.8395 | 0.03 | 2823840 | 4.0231 |
| 3.8338 | 0.03 | 2900160 | 4.0225 |
| 3.8315 | 1.03 | 2976480 | 4.0220 |
| 3.8293 | 0.02 | 3052726 | 4.0215 |
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