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--- |
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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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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-base-dialogsum-summarization |
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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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# flan-t5-base-dialogsum-summarization |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2095 |
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- Rouge1: 39.3212 |
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- Rouge2: 15.6335 |
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- Rougel: 33.4773 |
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- Rougelsum: 35.1795 |
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- Gen Len: 18.872 |
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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: 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: 4 |
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- mixed_precision_training: Native AMP |
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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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| 1.1318 | 1.0 | 1558 | 1.2331 | 39.1301 | 15.2555 | 33.1115 | 35.0288 | 18.868 | |
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| 1.0483 | 2.0 | 3116 | 1.2095 | 39.3212 | 15.6335 | 33.4773 | 35.1795 | 18.872 | |
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| 0.9969 | 3.0 | 4674 | 1.2104 | 40.0115 | 16.029 | 34.0364 | 35.8358 | 18.852 | |
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| 0.9601 | 4.0 | 6232 | 1.2161 | 39.7403 | 15.9708 | 33.8644 | 35.5952 | 18.868 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.1 |
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