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--- |
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license: apache-2.0 |
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base_model: bigscience/mt0-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: mt0-small-query-extraction-v4 |
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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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# mt0-small-query-extraction-v4 |
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This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0016 |
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- Rouge1: 55.6206 |
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- Rouge2: 48.0808 |
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- Rougel: 55.6125 |
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- Rougelsum: 55.6119 |
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- Gen Len: 19.0 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.0121 | 1.0 | 110364 | 0.0040 | 55.607 | 48.038 | 55.5908 | 55.5903 | 19.0 | |
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| 0.0045 | 2.0 | 220728 | 0.0021 | 55.6226 | 48.0812 | 55.6123 | 55.6125 | 19.0 | |
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| 0.003 | 3.0 | 331092 | 0.0016 | 55.6206 | 48.0808 | 55.6125 | 55.6119 | 19.0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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