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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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model-index:
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- name: CoT-multiDomain-Summ
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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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# CoT-multiDomain-Summ
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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: 1.1456
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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: 8
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- eval_batch_size: 8
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 438 | 1.2374 |
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| 4.18 | 2.0 | 876 | 1.1642 |
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| 1.1654 | 3.0 | 1314 | 1.1482 |
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| 1.0725 | 4.0 | 1752 | 1.1456 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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