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--- |
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license: apache-2.0 |
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base_model: philschmid/flan-t5-base-samsum |
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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-samsum-spotify-podcasts |
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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-samsum-spotify-podcasts |
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This model is a fine-tuned version of [philschmid/flan-t5-base-samsum](https://huggingface.co/philschmid/flan-t5-base-samsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3026 |
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- Rouge1: 0.27 |
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- Rouge2: 0.1512 |
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- Rougel: 0.2352 |
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- Rougelsum: 0.2355 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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| No log | 1.0 | 233 | 1.3963 | 0.2419 | 0.1266 | 0.2079 | 0.2077 | 19.0 | |
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| No log | 2.0 | 466 | 1.3356 | 0.2637 | 0.1432 | 0.2265 | 0.2263 | 19.0 | |
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| 1.6496 | 3.0 | 699 | 1.3088 | 0.2695 | 0.1491 | 0.2331 | 0.2331 | 19.0 | |
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| 1.6496 | 4.0 | 932 | 1.3026 | 0.27 | 0.1512 | 0.2352 | 0.2355 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.14.1 |
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