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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-frequency-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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# ghc-google-t5-v1_1-large-inter_model-frequency-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: 0.3108 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 5.3989 | 1.0 | 689 | 5.7253 | |
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| 0.3833 | 2.0 | 1378 | 0.3076 | |
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| 0.3352 | 3.0 | 2067 | 0.2992 | |
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| 0.3233 | 4.0 | 2756 | 0.2986 | |
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| 0.3203 | 5.0 | 3445 | 0.2983 | |
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| 0.3409 | 6.0 | 4134 | 0.3035 | |
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| 0.3078 | 7.0 | 4823 | 0.2952 | |
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| 0.3021 | 8.0 | 5512 | 0.2973 | |
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| 0.3136 | 9.0 | 6201 | 0.2968 | |
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| 0.3297 | 10.0 | 6890 | 0.2979 | |
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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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