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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-intra_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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# ghc-google-t5-v1_1-large-intra_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: 0.2524 |
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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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| 2.5958 | 1.0 | 345 | 2.2751 | |
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| 1.9688 | 2.0 | 690 | 2.0758 | |
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| 1.8217 | 3.0 | 1035 | 1.8429 | |
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| 0.0765 | 4.0 | 1380 | 0.0461 | |
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| 0.0683 | 5.0 | 1725 | 0.0501 | |
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| 0.0545 | 6.0 | 2070 | 0.0452 | |
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| 0.0515 | 7.0 | 2415 | 0.0417 | |
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| 0.044 | 8.0 | 2760 | 0.0387 | |
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| 0.0464 | 9.0 | 3105 | 0.0375 | |
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| 0.0449 | 10.0 | 3450 | 0.0416 | |
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| 0.0383 | 11.0 | 3795 | 0.0343 | |
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| 0.0484 | 12.0 | 4140 | 0.0334 | |
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| 0.0411 | 13.0 | 4485 | 0.0329 | |
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| 0.0412 | 14.0 | 4830 | 0.0327 | |
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| 0.0416 | 15.0 | 5175 | 0.0324 | |
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| 0.0409 | 16.0 | 5520 | 0.0328 | |
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| 0.0368 | 17.0 | 5865 | 0.0319 | |
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| 0.039 | 18.0 | 6210 | 0.0315 | |
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| 0.0352 | 19.0 | 6555 | 0.0311 | |
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| 0.0339 | 20.0 | 6900 | 0.0309 | |
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| 0.0391 | 21.0 | 7245 | 0.0322 | |
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| 0.0375 | 22.0 | 7590 | 0.0303 | |
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| 0.036 | 23.0 | 7935 | 0.0304 | |
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| 0.0322 | 24.0 | 8280 | 0.0302 | |
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| 0.0289 | 25.0 | 8625 | 0.0297 | |
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| 0.0296 | 26.0 | 8970 | 0.0300 | |
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| 0.0327 | 27.0 | 9315 | 0.0302 | |
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| 0.0331 | 28.0 | 9660 | 0.0300 | |
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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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