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--- |
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base_model: google/pegasus-cnn_dailymail |
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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: amtibot_pegasus |
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results: [] |
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library_name: peft |
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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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# amtibot_pegasus |
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co./google/pegasus-cnn_dailymail) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7407 |
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- Rouge1: 0.4605 |
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- Rouge2: 0.2395 |
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- Rougel: 0.3705 |
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- Rougelsum: 0.3708 |
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- Gen Len: 38.2468 |
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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: 0.02 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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 | 0.9351 | 9 | 2.0456 | 0.4419 | 0.2278 | 0.3636 | 0.3641 | 37.7013 | |
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| No log | 1.9740 | 19 | 1.8250 | 0.4601 | 0.2424 | 0.3764 | 0.3765 | 38.2597 | |
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| No log | 2.9091 | 28 | 1.7724 | 0.4638 | 0.2365 | 0.3724 | 0.372 | 36.5195 | |
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| No log | 3.7403 | 36 | 1.7407 | 0.4605 | 0.2395 | 0.3705 | 0.3708 | 38.2468 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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