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--- |
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base_model: amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Pegasus-model |
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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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# Pegasus-model |
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This model is a fine-tuned version of [amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2](https://huggingface.co/amagzari/pegasus-cnn_dailymail-finetuned-samsum-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9435 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 1.4132 | 0.99 | 16 | 1.1373 | |
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| 1.3997 | 1.98 | 32 | 1.1288 | |
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| 1.3814 | 2.97 | 48 | 1.1147 | |
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| 1.5235 | 3.95 | 64 | 1.0936 | |
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| 1.1194 | 4.94 | 80 | 1.0703 | |
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| 1.356 | 5.99 | 97 | 1.0459 | |
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| 1.2157 | 6.98 | 113 | 1.0206 | |
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| 0.9685 | 7.97 | 129 | 0.9902 | |
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| 1.2886 | 8.96 | 145 | 0.9639 | |
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| 1.2373 | 9.88 | 160 | 0.9435 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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