| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: superlative-quantifier-transformer-1 |
| results: [] |
| --- |
| |
| <!-- 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-transformer-1 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.8811 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 1 |
| - 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2257 | 0.03 | 76320 | 4.2120 | |
| | 4.0221 | 1.03 | 152640 | 4.0416 | |
| | 3.9131 | 0.03 | 228960 | 3.9674 | |
| | 3.8475 | 1.03 | 305280 | 3.9266 | |
| | 3.7974 | 0.03 | 381600 | 3.9019 | |
| | 3.7557 | 1.03 | 457920 | 3.8863 | |
| | 3.7223 | 0.03 | 534240 | 3.8759 | |
| | 3.696 | 1.03 | 610560 | 3.8692 | |
| | 3.668 | 0.03 | 686880 | 3.8648 | |
| | 3.6404 | 1.03 | 763200 | 3.8614 | |
| | 3.619 | 0.03 | 839520 | 3.8603 | |
| | 3.5962 | 1.03 | 915840 | 3.8590 | |
| | 3.5817 | 0.03 | 992160 | 3.8601 | |
| | 3.5625 | 0.03 | 1068480 | 3.8599 | |
| | 3.544 | 0.03 | 1144800 | 3.8615 | |
| | 3.5279 | 1.03 | 1221120 | 3.8617 | |
| | 3.5119 | 0.03 | 1297440 | 3.8635 | |
| | 3.4993 | 1.03 | 1373760 | 3.8644 | |
| | 3.4836 | 0.03 | 1450080 | 3.8650 | |
| | 3.4751 | 0.03 | 1526400 | 3.8681 | |
| | 3.467 | 0.03 | 1602720 | 3.8682 | |
| | 3.4583 | 0.03 | 1679040 | 3.8708 | |
| | 3.451 | 1.03 | 1755360 | 3.8718 | |
| | 3.4441 | 0.03 | 1831680 | 3.8737 | |
| | 3.429 | 0.03 | 1908000 | 3.8752 | |
| | 3.4162 | 1.03 | 1984320 | 3.8754 | |
| | 3.4051 | 0.03 | 2060640 | 3.8770 | |
| | 3.3914 | 0.03 | 2136960 | 3.8770 | |
| | 3.3854 | 0.03 | 2213280 | 3.8788 | |
| | 3.3745 | 1.03 | 2289600 | 3.8804 | |
| | 3.3613 | 0.03 | 2365920 | 3.8813 | |
| | 3.3479 | 1.03 | 2442240 | 3.8816 | |
| | 3.3373 | 0.03 | 2518560 | 3.8827 | |
| | 3.3284 | 0.03 | 2594880 | 3.8824 | |
| | 3.3156 | 0.03 | 2671200 | 3.8829 | |
| | 3.3124 | 1.03 | 2747520 | 3.8831 | |
| | 3.3082 | 0.03 | 2823840 | 3.8832 | |
| | 3.3015 | 0.03 | 2900160 | 3.8824 | |
| | 3.2982 | 1.03 | 2976480 | 3.8816 | |
| | 3.2944 | 0.02 | 3052726 | 3.8811 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
