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existential-there-quantifier-lstm-4
CLMBR/existential-there-quantifier-lstm-4
existential-there-quantifier-lstm-4 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
- Feb 2, 2024
- Updated
- Feb 7, 2024
- SHA
- 173840e5
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. -->
existential-there-quantifier-lstm-4
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9698
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: 4
- 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 |
|---|---|---|---|
| 4.7774 | 0.03 | 76320 | 4.7429 |
| 4.4932 | 1.03 | 152640 | 4.4638 |
| 4.3479 | 0.03 | 228960 | 4.3308 |
| 4.2625 | 1.03 | 305280 | 4.2490 |
| 4.1981 | 0.03 | 381600 | 4.1928 |
| 4.1521 | 1.03 | 457920 | 4.1530 |
| 4.1154 | 0.03 | 534240 | 4.1230 |
| 4.0805 | 1.03 | 610560 | 4.0988 |
| 4.0514 | 0.03 | 686880 | 4.0793 |
| 4.0259 | 1.03 | 763200 | 4.0640 |
| 4.0056 | 0.03 | 839520 | 4.0506 |
| 3.9903 | 1.03 | 915840 | 4.0404 |
| 3.9761 | 0.03 | 992160 | 4.0308 |
| 3.9565 | 1.03 | 1068480 | 4.0234 |
| 3.9472 | 0.03 | 1144800 | 4.0168 |
| 3.9352 | 1.03 | 1221120 | 4.0114 |
| 3.9245 | 0.03 | 1297440 | 4.0061 |
| 3.9137 | 1.03 | 1373760 | 4.0013 |
| 3.9036 | 0.03 | 1450080 | 3.9982 |
| 3.8998 | 0.03 | 1526400 | 3.9949 |
| 3.8957 | 1.03 | 1602720 | 3.9922 |
| 3.891 | 0.03 | 1679040 | 3.9897 |
| 3.8872 | 1.03 | 1755360 | 3.9876 |
| 3.8784 | 0.03 | 1831680 | 3.9853 |
| 3.8704 | 1.03 | 1908000 | 3.9831 |
| 3.8615 | 0.03 | 1984320 | 3.9815 |
| 3.8584 | 0.03 | 2060640 | 3.9799 |
| 3.8554 | 1.03 | 2136960 | 3.9784 |
| 3.8507 | 0.03 | 2213280 | 3.9773 |
| 3.8436 | 0.03 | 2289600 | 3.9763 |
| 3.8417 | 1.03 | 2365920 | 3.9754 |
| 3.8366 | 0.03 | 2442240 | 3.9742 |
| 3.8328 | 1.03 | 2518560 | 3.9736 |
| 3.8293 | 0.03 | 2594880 | 3.9726 |
| 3.8258 | 0.03 | 2671200 | 3.9719 |
| 3.8263 | 0.03 | 2747520 | 3.9714 |
| 3.8265 | 1.03 | 2823840 | 3.9709 |
| 3.8291 | 0.03 | 2900160 | 3.9704 |
| 3.8271 | 1.03 | 2976480 | 3.9701 |
| 3.8234 | 0.02 | 3052726 | 3.9698 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Feb 2, 2024
- Updated
- Feb 7, 2024