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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: litbank-coref-mem-base |
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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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# litbank-coref-mem-base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0620 |
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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: 2e-05 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 327 | 0.1448 | |
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| 1.3265 | 2.0 | 654 | 0.0986 | |
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| 1.3265 | 3.0 | 981 | 0.0854 | |
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| 0.1444 | 4.0 | 1308 | 0.0767 | |
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| 0.118 | 5.0 | 1635 | 0.0715 | |
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| 0.118 | 6.0 | 1962 | 0.0684 | |
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| 0.1043 | 7.0 | 2289 | 0.0650 | |
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| 0.0967 | 8.0 | 2616 | 0.0633 | |
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| 0.0967 | 9.0 | 2943 | 0.0621 | |
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| 0.0928 | 10.0 | 3270 | 0.0620 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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