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--- |
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library_name: transformers |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base_environmental_claims |
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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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# roberta-base_environmental_claims |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4015 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3333 | 1.0 | 133 | 0.4844 | |
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| 0.3429 | 2.0 | 266 | 0.4015 | |
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| 0.3122 | 3.0 | 399 | 0.6850 | |
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| 0.1914 | 4.0 | 532 | 0.6587 | |
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| 0.2417 | 5.0 | 665 | 0.5776 | |
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| 0.1458 | 6.0 | 798 | 0.6259 | |
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| 0.1755 | 7.0 | 931 | 0.6392 | |
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| 0.0664 | 8.0 | 1064 | 0.8447 | |
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| 0.0299 | 9.0 | 1197 | 0.7466 | |
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| 0.138 | 10.0 | 1330 | 0.6908 | |
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| 0.0935 | 11.0 | 1463 | 0.8548 | |
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| 0.0002 | 12.0 | 1596 | 0.7000 | |
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| 0.119 | 13.0 | 1729 | 1.2066 | |
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| 0.0001 | 14.0 | 1862 | 1.1844 | |
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| 0.0003 | 15.0 | 1995 | 0.7856 | |
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| 0.0001 | 16.0 | 2128 | 0.8803 | |
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| 0.0 | 17.0 | 2261 | 0.9005 | |
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| 0.0 | 18.0 | 2394 | 0.9338 | |
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| 0.0 | 19.0 | 2527 | 0.9946 | |
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| 0.1325 | 20.0 | 2660 | 0.7678 | |
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| 0.0001 | 21.0 | 2793 | 0.5737 | |
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| 0.0005 | 22.0 | 2926 | 1.0396 | |
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| 0.0855 | 23.0 | 3059 | 0.7681 | |
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| 0.0 | 24.0 | 3192 | 1.0212 | |
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| 0.0856 | 25.0 | 3325 | 1.0275 | |
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| 0.0 | 26.0 | 3458 | 0.7531 | |
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| 0.0 | 27.0 | 3591 | 0.7814 | |
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| 0.0 | 28.0 | 3724 | 0.8142 | |
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| 0.0 | 29.0 | 3857 | 1.4194 | |
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| 0.0 | 30.0 | 3990 | 1.1039 | |
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| 0.0 | 31.0 | 4123 | 1.2294 | |
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| 0.0 | 32.0 | 4256 | 1.1357 | |
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| 0.0 | 33.0 | 4389 | 0.9818 | |
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| 0.0 | 34.0 | 4522 | 0.9881 | |
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| 0.0 | 35.0 | 4655 | 0.9947 | |
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| 0.0 | 36.0 | 4788 | 1.0028 | |
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| 0.0 | 37.0 | 4921 | 1.0100 | |
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| 0.0 | 38.0 | 5054 | 1.0038 | |
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| 0.0 | 39.0 | 5187 | 1.0115 | |
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| 0.1009 | 40.0 | 5320 | 1.0044 | |
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| 0.0 | 41.0 | 5453 | 1.5468 | |
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| 0.1724 | 42.0 | 5586 | 1.0918 | |
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| 0.0 | 43.0 | 5719 | 1.4838 | |
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| 0.0 | 44.0 | 5852 | 1.3071 | |
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| 0.0 | 45.0 | 5985 | 1.3350 | |
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| 0.0 | 46.0 | 6118 | 1.3400 | |
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| 0.0 | 47.0 | 6251 | 1.3331 | |
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| 0.0 | 48.0 | 6384 | 1.3265 | |
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| 0.0 | 49.0 | 6517 | 1.2641 | |
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| 0.0 | 50.0 | 6650 | 1.2638 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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