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--- |
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license: apache-2.0 |
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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: t5_large_baseline |
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results: |
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- task: |
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name: Summarization |
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type: summarization |
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metric: |
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name: Rouge1 |
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type: rouge |
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value: 99.8958 |
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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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# t5_large_baseline |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0010 |
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- Rouge1: 99.8958 |
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- Rouge2: 99.8696 |
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- Rougel: 99.8958 |
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- Rougelsum: 99.8958 |
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- Gen Len: 46.715 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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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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| 0.9852 | 0.33 | 50 | 0.1098 | 55.1421 | 49.8248 | 54.4294 | 54.7377 | 19.0 | |
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| 0.1186 | 0.67 | 100 | 0.0176 | 58.0994 | 54.8973 | 57.7383 | 57.9538 | 19.0 | |
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| 0.0417 | 1.0 | 150 | 0.0057 | 58.3685 | 55.7353 | 58.279 | 58.2729 | 19.0 | |
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| 0.0225 | 1.33 | 200 | 0.0029 | 58.8981 | 56.2457 | 58.8202 | 58.7906 | 19.0 | |
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| 0.0131 | 1.67 | 250 | 0.0024 | 58.8439 | 56.2535 | 58.7557 | 58.7218 | 19.0 | |
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| 0.0112 | 2.0 | 300 | 0.0013 | 58.9538 | 56.4749 | 58.9322 | 58.8817 | 19.0 | |
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| 0.0077 | 2.33 | 350 | 0.0013 | 58.9538 | 56.4749 | 58.9322 | 58.8817 | 19.0 | |
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| 0.0043 | 2.67 | 400 | 0.0010 | 59.0124 | 56.5806 | 58.9867 | 58.9342 | 19.0 | |
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| 0.0052 | 3.0 | 450 | 0.0010 | 59.0402 | 56.6982 | 59.0385 | 58.986 | 19.0 | |
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### Framework versions |
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- Transformers 4.10.0.dev0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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