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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: superlative-quantifier-transformer-0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# superlative-quantifier-transformer-0 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8837 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.2249 | 0.03 | 76320 | 4.2087 | |
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| 4.0213 | 1.03 | 152640 | 4.0412 | |
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| 3.9129 | 0.03 | 228960 | 3.9686 | |
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| 3.8461 | 1.03 | 305280 | 3.9269 | |
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| 3.7962 | 0.03 | 381600 | 3.9027 | |
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| 3.7546 | 1.03 | 457920 | 3.8871 | |
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| 3.7204 | 0.03 | 534240 | 3.8776 | |
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| 3.6945 | 1.03 | 610560 | 3.8700 | |
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| 3.6672 | 0.03 | 686880 | 3.8669 | |
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| 3.6407 | 1.03 | 763200 | 3.8640 | |
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| 3.6177 | 0.03 | 839520 | 3.8625 | |
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| 3.5958 | 1.03 | 915840 | 3.8626 | |
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| 3.5814 | 0.03 | 992160 | 3.8629 | |
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| 3.5614 | 0.03 | 1068480 | 3.8633 | |
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| 3.5415 | 1.03 | 1144800 | 3.8646 | |
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| 3.5217 | 0.03 | 1221120 | 3.8653 | |
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| 3.5054 | 1.03 | 1297440 | 3.8664 | |
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| 3.4924 | 0.03 | 1373760 | 3.8680 | |
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| 3.4793 | 1.03 | 1450080 | 3.8683 | |
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| 3.471 | 0.03 | 1526400 | 3.8702 | |
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| 3.4648 | 0.03 | 1602720 | 3.8718 | |
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| 3.4555 | 1.03 | 1679040 | 3.8740 | |
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| 3.4495 | 0.03 | 1755360 | 3.8754 | |
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| 3.4407 | 1.03 | 1831680 | 3.8771 | |
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| 3.4286 | 0.03 | 1908000 | 3.8777 | |
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| 3.416 | 0.03 | 1984320 | 3.8798 | |
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| 3.4039 | 0.03 | 2060640 | 3.8813 | |
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| 3.3906 | 0.03 | 2136960 | 3.8828 | |
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| 3.3851 | 0.03 | 2213280 | 3.8833 | |
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| 3.3725 | 1.03 | 2289600 | 3.8836 | |
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| 3.3602 | 0.03 | 2365920 | 3.8841 | |
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| 3.346 | 0.03 | 2442240 | 3.8842 | |
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| 3.3344 | 0.03 | 2518560 | 3.8863 | |
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| 3.3257 | 1.03 | 2594880 | 3.8859 | |
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| 3.3147 | 0.03 | 2671200 | 3.8859 | |
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| 3.3089 | 1.03 | 2747520 | 3.8863 | |
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| 3.3062 | 0.03 | 2823840 | 3.8858 | |
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| 3.3 | 1.03 | 2900160 | 3.8854 | |
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| 3.2978 | 0.03 | 2976480 | 3.8848 | |
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| 3.294 | 0.02 | 3052726 | 3.8837 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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