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update model card README.md

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+ ---
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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: pegasus-newsroom-commentaries_hdwriter
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+ results: []
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+ ---
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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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+
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+ # pegasus-newsroom-commentaries_hdwriter
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+
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+ This model is a fine-tuned version of [google/pegasus-newsroom](https://huggingface.co/google/pegasus-newsroom) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.5316
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+ - Rouge1: 21.4079
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+ - Rouge2: 6.2399
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+ - Rougel: 16.6644
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+ - Rougelsum: 17.8501
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+ - Gen Len: 34.4111
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 1
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+ - eval_batch_size: 1
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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: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 2.6327 | 1.0 | 4710 | 2.5474 | 20.9392 | 6.1702 | 16.3859 | 17.5963 | 35.6626 |
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+ | 2.4322 | 2.0 | 9420 | 2.5198 | 21.4026 | 6.1811 | 16.5874 | 17.8207 | 34.5976 |
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+ | 2.2703 | 3.0 | 14130 | 2.5316 | 21.4079 | 6.2399 | 16.6644 | 17.8501 | 34.4111 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3