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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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base_model: indigo-ai/BERTino |
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model-index: |
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- name: predict-perception-bertino-cause-object |
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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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# predict-perception-bertino-cause-object |
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This model is a fine-tuned version of [indigo-ai/BERTino](https://huggingface.co/indigo-ai/BERTino) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0766 |
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- R2: 0.8216 |
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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: 0.0001 |
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- train_batch_size: 20 |
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- eval_batch_size: 8 |
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- seed: 1996 |
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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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- num_epochs: 47 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | R2 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.6807 | 1.0 | 14 | 0.4011 | 0.0652 | |
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| 0.3529 | 2.0 | 28 | 0.2304 | 0.4631 | |
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| 0.1539 | 3.0 | 42 | 0.0596 | 0.8611 | |
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| 0.0853 | 4.0 | 56 | 0.1600 | 0.6272 | |
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| 0.066 | 5.0 | 70 | 0.1596 | 0.6280 | |
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| 0.0563 | 6.0 | 84 | 0.1146 | 0.7330 | |
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| 0.0777 | 7.0 | 98 | 0.1010 | 0.7646 | |
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| 0.0299 | 8.0 | 112 | 0.0897 | 0.7910 | |
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| 0.0311 | 9.0 | 126 | 0.0832 | 0.8061 | |
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| 0.0274 | 10.0 | 140 | 0.0988 | 0.7697 | |
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| 0.0262 | 11.0 | 154 | 0.1048 | 0.7557 | |
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| 0.0204 | 12.0 | 168 | 0.0615 | 0.8566 | |
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| 0.0254 | 13.0 | 182 | 0.0742 | 0.8270 | |
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| 0.0251 | 14.0 | 196 | 0.0923 | 0.7850 | |
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| 0.0149 | 15.0 | 210 | 0.0663 | 0.8456 | |
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| 0.0141 | 16.0 | 224 | 0.0755 | 0.8241 | |
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| 0.0112 | 17.0 | 238 | 0.0905 | 0.7891 | |
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| 0.0108 | 18.0 | 252 | 0.0834 | 0.8057 | |
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| 0.0096 | 19.0 | 266 | 0.0823 | 0.8082 | |
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| 0.0073 | 20.0 | 280 | 0.0825 | 0.8078 | |
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| 0.0092 | 21.0 | 294 | 0.0869 | 0.7974 | |
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| 0.0075 | 22.0 | 308 | 0.0744 | 0.8266 | |
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| 0.0075 | 23.0 | 322 | 0.0825 | 0.8078 | |
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| 0.0062 | 24.0 | 336 | 0.0797 | 0.8144 | |
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| 0.0065 | 25.0 | 350 | 0.0793 | 0.8152 | |
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| 0.007 | 26.0 | 364 | 0.0840 | 0.8043 | |
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| 0.0067 | 27.0 | 378 | 0.0964 | 0.7753 | |
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| 0.0064 | 28.0 | 392 | 0.0869 | 0.7976 | |
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| 0.0063 | 29.0 | 406 | 0.0766 | 0.8215 | |
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| 0.0057 | 30.0 | 420 | 0.0764 | 0.8219 | |
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| 0.0057 | 31.0 | 434 | 0.0796 | 0.8145 | |
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| 0.0054 | 32.0 | 448 | 0.0853 | 0.8012 | |
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| 0.0044 | 33.0 | 462 | 0.0750 | 0.8253 | |
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| 0.0072 | 34.0 | 476 | 0.0782 | 0.8179 | |
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| 0.006 | 35.0 | 490 | 0.0867 | 0.7979 | |
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| 0.0054 | 36.0 | 504 | 0.0819 | 0.8092 | |
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| 0.0047 | 37.0 | 518 | 0.0839 | 0.8045 | |
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| 0.0043 | 38.0 | 532 | 0.0764 | 0.8221 | |
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| 0.0039 | 39.0 | 546 | 0.0728 | 0.8303 | |
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| 0.0041 | 40.0 | 560 | 0.0755 | 0.8241 | |
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| 0.0038 | 41.0 | 574 | 0.0729 | 0.8301 | |
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| 0.0034 | 42.0 | 588 | 0.0781 | 0.8180 | |
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| 0.0038 | 43.0 | 602 | 0.0762 | 0.8224 | |
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| 0.0032 | 44.0 | 616 | 0.0777 | 0.8189 | |
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| 0.0035 | 45.0 | 630 | 0.0776 | 0.8191 | |
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| 0.0037 | 46.0 | 644 | 0.0765 | 0.8217 | |
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| 0.0036 | 47.0 | 658 | 0.0766 | 0.8216 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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