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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-shuffle-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-shuffle-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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| 19.9569 | 1.0 | 44 | 24.5425 | |
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| 17.0234 | 2.0 | 88 | 15.4055 | |
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| 11.6683 | 3.0 | 132 | 9.5059 | |
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| 8.8616 | 4.0 | 176 | 8.7957 | |
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| 8.2698 | 5.0 | 220 | 8.6316 | |
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| 8.1875 | 6.0 | 264 | 8.5314 | |
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| 7.99 | 7.0 | 308 | 8.4160 | |
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| 7.8585 | 8.0 | 352 | 8.2126 | |
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| 7.5473 | 9.0 | 396 | 7.7908 | |
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| 7.1869 | 10.0 | 440 | 7.4343 | |
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| 7.0103 | 11.0 | 484 | 7.2743 | |
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| 6.9522 | 12.0 | 528 | 7.1678 | |
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| 6.8309 | 13.0 | 572 | 7.0572 | |
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| 1.2882 | 14.0 | 616 | 1.0288 | |
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| 1.0846 | 15.0 | 660 | 1.0039 | |
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| 1.072 | 16.0 | 704 | 0.9993 | |
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| 1.0704 | 17.0 | 748 | 0.9972 | |
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| 1.0643 | 18.0 | 792 | 0.9962 | |
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| 1.0574 | 19.0 | 836 | 0.9945 | |
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| 1.0485 | 20.0 | 880 | 0.9926 | |
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| 1.0436 | 21.0 | 924 | 0.9924 | |
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| 1.0587 | 22.0 | 968 | 0.9950 | |
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| 1.0569 | 23.0 | 1012 | 0.9906 | |
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| 1.0393 | 24.0 | 1056 | 0.9922 | |
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| 1.0438 | 25.0 | 1100 | 0.9931 | |
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| 1.0579 | 26.0 | 1144 | 0.9880 | |
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| 1.0194 | 27.0 | 1188 | 0.9909 | |
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| 1.0475 | 28.0 | 1232 | 0.9906 | |
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| 1.0494 | 29.0 | 1276 | 0.9887 | |
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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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