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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: Sentiment-google-t5-v1_1-large-inter_model-sorted-model_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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# Sentiment-google-t5-v1_1-large-inter_model-sorted-model_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: nan |
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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: 128 |
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- eval_batch_size: 128 |
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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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| 20.5922 | 1.0 | 44 | 24.6172 | |
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| 16.3048 | 2.0 | 88 | 12.1742 | |
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| 11.2971 | 3.0 | 132 | 10.1133 | |
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| 9.1562 | 4.0 | 176 | 8.7959 | |
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| 8.2587 | 5.0 | 220 | 8.5608 | |
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| 8.1239 | 6.0 | 264 | 8.4644 | |
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| 7.9281 | 7.0 | 308 | 8.3953 | |
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| 7.9676 | 8.0 | 352 | 8.2317 | |
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| 7.5012 | 9.0 | 396 | 7.7257 | |
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| 7.1769 | 10.0 | 440 | 7.3715 | |
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| 6.9303 | 11.0 | 484 | 7.1975 | |
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| 6.8629 | 12.0 | 528 | 7.0684 | |
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| 6.6057 | 13.0 | 572 | 6.9544 | |
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| 0.9049 | 14.0 | 616 | 0.6979 | |
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| 0.7327 | 15.0 | 660 | 0.6557 | |
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| 0.712 | 16.0 | 704 | 0.6521 | |
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| 0.7003 | 17.0 | 748 | 0.6520 | |
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| 0.7145 | 18.0 | 792 | 0.6503 | |
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| 0.6983 | 19.0 | 836 | 0.6504 | |
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| 0.6943 | 20.0 | 880 | 0.6481 | |
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| 0.6912 | 21.0 | 924 | 0.6479 | |
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| 0.6945 | 22.0 | 968 | 0.6467 | |
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| 0.6929 | 23.0 | 1012 | 0.6493 | |
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| 0.6902 | 24.0 | 1056 | 0.6479 | |
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| 0.6853 | 25.0 | 1100 | 0.6444 | |
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| 0.6881 | 26.0 | 1144 | 0.6438 | |
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| 0.6774 | 27.0 | 1188 | 0.6462 | |
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| 0.6921 | 28.0 | 1232 | 0.6456 | |
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| 0.6852 | 29.0 | 1276 | 0.6450 | |
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| 0.6763 | 30.0 | 1320 | 0.6448 | |
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| 0.6858 | 31.0 | 1364 | 0.6433 | |
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| 0.6789 | 32.0 | 1408 | 0.6450 | |
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| 0.6819 | 33.0 | 1452 | 0.6457 | |
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| 0.6804 | 34.0 | 1496 | 0.6458 | |
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| 0.6713 | 35.0 | 1540 | 0.6450 | |
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| 0.6781 | 36.0 | 1584 | 0.6437 | |
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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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