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existential-there-quantifier-lstm-3
CLMBR/existential-there-quantifier-lstm-3
existential-there-quantifier-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
- Feb 2, 2024
- Updated
- Feb 7, 2024
- SHA
- b47fd976
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-3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9719
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 |
|---|---|---|---|
| 4.787 | 0.03 | 76320 | 4.7500 |
| 4.5023 | 1.03 | 152640 | 4.4726 |
| 4.3574 | 0.03 | 228960 | 4.3385 |
| 4.2706 | 1.03 | 305280 | 4.2563 |
| 4.2067 | 0.03 | 381600 | 4.2004 |
| 4.1598 | 1.03 | 457920 | 4.1593 |
| 4.1222 | 0.03 | 534240 | 4.1286 |
| 4.0884 | 1.03 | 610560 | 4.1044 |
| 4.06 | 0.03 | 686880 | 4.0853 |
| 4.0349 | 1.03 | 763200 | 4.0699 |
| 4.0153 | 0.03 | 839520 | 4.0564 |
| 3.9999 | 1.03 | 915840 | 4.0454 |
| 3.9841 | 0.03 | 992160 | 4.0365 |
| 3.9663 | 1.03 | 1068480 | 4.0289 |
| 3.9576 | 0.03 | 1144800 | 4.0222 |
| 3.9434 | 1.03 | 1221120 | 4.0164 |
| 3.9331 | 0.03 | 1297440 | 4.0107 |
| 3.9224 | 1.03 | 1373760 | 4.0063 |
| 3.9117 | 0.03 | 1450080 | 4.0029 |
| 3.9068 | 1.03 | 1526400 | 3.9988 |
| 3.9024 | 0.03 | 1602720 | 3.9966 |
| 3.8961 | 1.03 | 1679040 | 3.9935 |
| 3.8922 | 0.03 | 1755360 | 3.9913 |
| 3.8832 | 0.03 | 1831680 | 3.9888 |
| 3.876 | 1.03 | 1908000 | 3.9861 |
| 3.8682 | 0.03 | 1984320 | 3.9844 |
| 3.8638 | 1.03 | 2060640 | 3.9831 |
| 3.8615 | 0.03 | 2136960 | 3.9816 |
| 3.8567 | 1.03 | 2213280 | 3.9804 |
| 3.85 | 0.03 | 2289600 | 3.9793 |
| 3.8483 | 1.03 | 2365920 | 3.9779 |
| 3.8467 | 0.03 | 2442240 | 3.9766 |
| 3.8417 | 0.03 | 2518560 | 3.9756 |
| 3.8381 | 1.03 | 2594880 | 3.9749 |
| 3.8329 | 0.03 | 2671200 | 3.9740 |
| 3.8346 | 1.03 | 2747520 | 3.9735 |
| 3.8324 | 0.03 | 2823840 | 3.9729 |
| 3.8333 | 1.03 | 2900160 | 3.9724 |
| 3.8332 | 0.03 | 2976480 | 3.9720 |
| 3.8296 | 1.02 | 3052726 | 3.9719 |
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