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--- |
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license: apache-2.0 |
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base_model: google/t5-v1_1-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SBIC-google-t5-v1_1-large-inter_model-frequency-human_annots_str |
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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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# SBIC-google-t5-v1_1-large-inter_model-frequency-human_annots_str |
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This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3635 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 7.7146 | 1.0 | 392 | 8.2917 | |
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| 0.5241 | 2.0 | 784 | 0.4371 | |
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| 0.4312 | 3.0 | 1176 | 0.4278 | |
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| 0.4359 | 4.0 | 1568 | 0.4084 | |
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| 0.3616 | 5.0 | 1960 | 0.3634 | |
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| 0.397 | 6.0 | 2352 | 0.3568 | |
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| 0.3647 | 7.0 | 2744 | 0.3387 | |
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| 0.3936 | 8.0 | 3136 | 0.3365 | |
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| 0.3614 | 9.0 | 3528 | 0.3341 | |
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| 0.3403 | 10.0 | 3920 | 0.3278 | |
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| 0.3048 | 11.0 | 4312 | 0.3227 | |
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| 0.347 | 12.0 | 4704 | 0.3218 | |
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| 0.337 | 13.0 | 5096 | 0.3136 | |
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| 0.3166 | 14.0 | 5488 | 0.3112 | |
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| 0.3021 | 15.0 | 5880 | 0.3119 | |
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| 0.3155 | 16.0 | 6272 | 0.3051 | |
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| 0.2965 | 17.0 | 6664 | 0.3054 | |
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| 0.3196 | 18.0 | 7056 | 0.2989 | |
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| 0.2857 | 19.0 | 7448 | 0.2964 | |
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| 0.3776 | 20.0 | 7840 | 0.2905 | |
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| 0.288 | 21.0 | 8232 | 0.2889 | |
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| 0.2632 | 22.0 | 8624 | 0.2911 | |
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| 0.3014 | 23.0 | 9016 | 0.2862 | |
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| 0.3015 | 24.0 | 9408 | 0.2869 | |
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| 0.3254 | 25.0 | 9800 | 0.2858 | |
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| 0.3178 | 26.0 | 10192 | 0.2860 | |
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| 0.2994 | 27.0 | 10584 | 0.2860 | |
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| 0.2893 | 28.0 | 10976 | 0.2860 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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