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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: SBIC-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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# SBIC-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: 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: 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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| 7.167 | 1.0 | 392 | 7.3219 | |
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| 5.9187 | 2.0 | 784 | 6.1190 | |
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| 0.454 | 3.0 | 1176 | 0.4329 | |
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| 0.4799 | 4.0 | 1568 | 0.4202 | |
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| 0.4521 | 5.0 | 1960 | 0.4199 | |
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| 0.4624 | 6.0 | 2352 | 0.4321 | |
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| 0.4301 | 7.0 | 2744 | 0.4406 | |
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| 0.4482 | 8.0 | 3136 | 0.4544 | |
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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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