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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-intra_model-shuffle-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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# Sentiment-google-t5-v1_1-large-intra_model-shuffle-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: 7.5234 |
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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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| 21.0865 | 1.0 | 44 | 23.6328 | |
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| 19.3373 | 2.0 | 88 | 17.3411 | |
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| 14.3861 | 3.0 | 132 | 11.9747 | |
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| 11.4823 | 4.0 | 176 | 10.9355 | |
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| 10.5154 | 5.0 | 220 | 10.7808 | |
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| 10.1482 | 6.0 | 264 | 10.7065 | |
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| 10.0319 | 7.0 | 308 | 10.5792 | |
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| 9.8259 | 8.0 | 352 | 10.2032 | |
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| 9.1712 | 9.0 | 396 | 9.5730 | |
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| 8.8567 | 10.0 | 440 | 9.2184 | |
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| 8.626 | 11.0 | 484 | 9.0661 | |
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| 8.5469 | 12.0 | 528 | 8.9471 | |
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| 6.3996 | 13.0 | 572 | 1.5474 | |
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| 1.3785 | 14.0 | 616 | 1.3062 | |
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| 1.3229 | 15.0 | 660 | 1.2992 | |
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| 1.3309 | 16.0 | 704 | 1.3052 | |
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| 1.3341 | 17.0 | 748 | 1.2961 | |
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| 1.3281 | 18.0 | 792 | 1.2946 | |
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| 1.3219 | 19.0 | 836 | 1.3034 | |
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| 1.3185 | 20.0 | 880 | 1.2989 | |
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| 1.3184 | 21.0 | 924 | 1.2985 | |
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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 2.6.1 |
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- Tokenizers 0.14.1 |
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