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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - multi_news
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: t5-small-mnews_v2
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: multi_news
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+ type: multi_news
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+ config: default
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+ split: validation
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+ args: default
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 14.995
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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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+ # t5-small-mnews_v2
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the multi_news dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6902
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+ - Rouge1: 14.995
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+ - Rouge2: 4.9012
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+ - Rougel: 11.4372
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+ - Rougelsum: 13.229
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+ - Gen Len: 19.0
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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: 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: 1
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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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+ | 2.9143 | 1.0 | 11243 | 2.6902 | 14.995 | 4.9012 | 11.4372 | 13.229 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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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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+ "transformers_version": "4.35.0"
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+ }
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