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superlative-quantifier-lstm-3
CLMBR/superlative-quantifier-lstm-3
superlative-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
- Jan 16, 2024
- Updated
- Jan 20, 2024
- SHA
- a39b2f02
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. -->
superlative-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: 3.9893
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 |
|---|---|---|---|
| 4.7985 | 0.03 | 76320 | 4.7866 |
| 4.5144 | 1.03 | 152640 | 4.5020 |
| 4.3706 | 0.03 | 228960 | 4.3653 |
| 4.2853 | 1.03 | 305280 | 4.2807 |
| 4.2215 | 2.03 | 381600 | 4.2234 |
| 4.1723 | 0.03 | 457920 | 4.1822 |
| 4.1396 | 1.03 | 534240 | 4.1511 |
| 4.1084 | 0.03 | 610560 | 4.1267 |
| 4.0794 | 1.03 | 686880 | 4.1064 |
| 4.0535 | 0.03 | 763200 | 4.0905 |
| 4.0315 | 1.03 | 839520 | 4.0768 |
| 4.0098 | 0.03 | 915840 | 4.0656 |
| 4.0005 | 1.03 | 992160 | 4.0558 |
| 3.9838 | 2.03 | 1068480 | 4.0484 |
| 3.9698 | 0.03 | 1144800 | 4.0409 |
| 3.9498 | 1.03 | 1221120 | 4.0346 |
| 3.9379 | 2.03 | 1297440 | 4.0304 |
| 3.9296 | 0.03 | 1373760 | 4.0261 |
| 3.9193 | 1.03 | 1450080 | 4.0215 |
| 3.9159 | 0.03 | 1526400 | 4.0179 |
| 3.9123 | 1.03 | 1602720 | 4.0143 |
| 3.9072 | 0.03 | 1679040 | 4.0113 |
| 3.906 | 1.03 | 1755360 | 4.0091 |
| 3.9027 | 0.03 | 1831680 | 4.0067 |
| 3.8946 | 1.03 | 1908000 | 4.0048 |
| 3.8892 | 0.03 | 1984320 | 4.0029 |
| 3.8824 | 0.03 | 2060640 | 4.0012 |
| 3.8758 | 0.03 | 2136960 | 3.9999 |
| 3.8751 | 0.03 | 2213280 | 3.9983 |
| 3.869 | 0.03 | 2289600 | 3.9967 |
| 3.8615 | 1.03 | 2365920 | 3.9956 |
| 3.8512 | 2.03 | 2442240 | 3.9942 |
| 3.8463 | 0.03 | 2518560 | 3.9931 |
| 3.8445 | 1.03 | 2594880 | 3.9924 |
| 3.8404 | 2.03 | 2671200 | 3.9919 |
| 3.8438 | 0.03 | 2747520 | 3.9912 |
| 3.845 | 0.03 | 2823840 | 3.9907 |
| 3.8445 | 0.03 | 2900160 | 3.9900 |
| 3.8503 | 0.03 | 2976480 | 3.9897 |
| 3.8497 | 1.02 | 3052726 | 3.9893 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Jan 16, 2024
- Updated
- Jan 20, 2024