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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: ghc-google-t5-v1_1-large-inter_model-dataset-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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# ghc-google-t5-v1_1-large-inter_model-dataset-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: 0.4160 |
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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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| 2.5863 | 1.0 | 345 | 2.2862 | |
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| 1.9673 | 2.0 | 690 | 2.0705 | |
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| 1.7865 | 3.0 | 1035 | 1.8048 | |
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| 0.0714 | 4.0 | 1380 | 0.0459 | |
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| 0.0618 | 5.0 | 1725 | 0.0456 | |
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| 0.0596 | 6.0 | 2070 | 0.0476 | |
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| 0.0532 | 7.0 | 2415 | 0.0438 | |
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| 0.0503 | 8.0 | 2760 | 0.0405 | |
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| 0.048 | 9.0 | 3105 | 0.0377 | |
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| 0.0462 | 10.0 | 3450 | 0.0455 | |
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| 0.036 | 11.0 | 3795 | 0.0358 | |
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| 0.0447 | 12.0 | 4140 | 0.0355 | |
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| 0.0416 | 13.0 | 4485 | 0.0351 | |
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| 0.0413 | 14.0 | 4830 | 0.0331 | |
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| 0.0409 | 15.0 | 5175 | 0.0320 | |
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| 0.0411 | 16.0 | 5520 | 0.0333 | |
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| 0.0363 | 17.0 | 5865 | 0.0322 | |
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| 0.0378 | 18.0 | 6210 | 0.0329 | |
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| 0.0345 | 19.0 | 6555 | 0.0312 | |
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| 0.0328 | 20.0 | 6900 | 0.0311 | |
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| 0.0392 | 21.0 | 7245 | 0.0303 | |
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| 0.0392 | 22.0 | 7590 | 0.0296 | |
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| 0.0353 | 23.0 | 7935 | 0.0300 | |
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| 0.0331 | 24.0 | 8280 | 0.0299 | |
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| 0.0306 | 25.0 | 8625 | 0.0290 | |
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| 0.0313 | 26.0 | 8970 | 0.0294 | |
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| 0.0303 | 27.0 | 9315 | 0.0296 | |
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| 0.0378 | 28.0 | 9660 | 0.0292 | |
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| 0.0358 | 29.0 | 10005 | 0.0292 | |
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| 0.0328 | 30.0 | 10350 | 0.0292 | |
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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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