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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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model-index: |
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- name: predict-perception-bertino-cause-concept |
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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-concept |
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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: 0.2035 |
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- R2: -0.3662 |
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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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| 0.3498 | 1.0 | 14 | 0.1845 | -0.2382 | |
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| 0.2442 | 2.0 | 28 | 0.1575 | -0.0573 | |
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| 0.1553 | 3.0 | 42 | 0.2216 | -0.4872 | |
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| 0.0726 | 4.0 | 56 | 0.1972 | -0.3234 | |
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| 0.0564 | 5.0 | 70 | 0.2832 | -0.9009 | |
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| 0.0525 | 6.0 | 84 | 0.1854 | -0.2444 | |
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| 0.0385 | 7.0 | 98 | 0.2816 | -0.8900 | |
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| 0.0257 | 8.0 | 112 | 0.1815 | -0.2183 | |
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| 0.03 | 9.0 | 126 | 0.3065 | -1.0576 | |
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| 0.0275 | 10.0 | 140 | 0.1991 | -0.3367 | |
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| 0.0175 | 11.0 | 154 | 0.2400 | -0.6110 | |
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| 0.017 | 12.0 | 168 | 0.1915 | -0.2856 | |
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| 0.0158 | 13.0 | 182 | 0.2008 | -0.3477 | |
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| 0.0127 | 14.0 | 196 | 0.1932 | -0.2968 | |
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| 0.009 | 15.0 | 210 | 0.2500 | -0.6783 | |
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| 0.0078 | 16.0 | 224 | 0.1969 | -0.3215 | |
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| 0.0075 | 17.0 | 238 | 0.1857 | -0.2463 | |
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| 0.0079 | 18.0 | 252 | 0.2405 | -0.6145 | |
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| 0.0089 | 19.0 | 266 | 0.1865 | -0.2517 | |
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| 0.0082 | 20.0 | 280 | 0.2275 | -0.5267 | |
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| 0.0078 | 21.0 | 294 | 0.1890 | -0.2687 | |
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| 0.0072 | 22.0 | 308 | 0.2230 | -0.4965 | |
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| 0.0064 | 23.0 | 322 | 0.2286 | -0.5346 | |
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| 0.0052 | 24.0 | 336 | 0.2154 | -0.4457 | |
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| 0.0049 | 25.0 | 350 | 0.1901 | -0.2757 | |
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| 0.0062 | 26.0 | 364 | 0.1917 | -0.2870 | |
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| 0.0043 | 27.0 | 378 | 0.2042 | -0.3704 | |
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| 0.0038 | 28.0 | 392 | 0.2251 | -0.5110 | |
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| 0.0049 | 29.0 | 406 | 0.2092 | -0.4040 | |
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| 0.0044 | 30.0 | 420 | 0.2119 | -0.4221 | |
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| 0.0041 | 31.0 | 434 | 0.2018 | -0.3542 | |
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| 0.0039 | 32.0 | 448 | 0.1875 | -0.2586 | |
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| 0.0038 | 33.0 | 462 | 0.1980 | -0.3291 | |
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| 0.0038 | 34.0 | 476 | 0.2071 | -0.3903 | |
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| 0.0043 | 35.0 | 490 | 0.1998 | -0.3412 | |
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| 0.0043 | 36.0 | 504 | 0.2052 | -0.3771 | |
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| 0.004 | 37.0 | 518 | 0.2143 | -0.4382 | |
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| 0.004 | 38.0 | 532 | 0.1977 | -0.3273 | |
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| 0.0039 | 39.0 | 546 | 0.2002 | -0.3439 | |
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| 0.0034 | 40.0 | 560 | 0.2035 | -0.3659 | |
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| 0.0036 | 41.0 | 574 | 0.1994 | -0.3387 | |
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| 0.0029 | 42.0 | 588 | 0.2036 | -0.3667 | |
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| 0.0032 | 43.0 | 602 | 0.2055 | -0.3797 | |
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| 0.0029 | 44.0 | 616 | 0.2025 | -0.3593 | |
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| 0.0027 | 45.0 | 630 | 0.2047 | -0.3743 | |
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| 0.0033 | 46.0 | 644 | 0.2067 | -0.3877 | |
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| 0.0027 | 47.0 | 658 | 0.2035 | -0.3662 | |
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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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