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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- billsum |
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metrics: |
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- rouge |
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model-index: |
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- name: T5_large_billsum_fine_tune_base_model_3_epoch |
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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: billsum |
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type: billsum |
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config: default |
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split: test |
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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: 0.2489 |
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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_billsum_fine_tune_base_model_3_epoch |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the billsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9541 |
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- Rouge1: 0.2489 |
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- Rouge2: 0.2083 |
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- Rougel: 0.2424 |
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- Rougelsum: 0.2424 |
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- Gen Len: 19.0 |
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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: 3e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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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### 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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| 1.1242 | 1.0 | 1895 | 0.9894 | 0.2482 | 0.2063 | 0.2411 | 0.2411 | 19.0 | |
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| 1.0324 | 2.0 | 3790 | 0.9594 | 0.2493 | 0.2082 | 0.2426 | 0.2426 | 19.0 | |
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| 1.0014 | 3.0 | 5685 | 0.9541 | 0.2489 | 0.2083 | 0.2424 | 0.2424 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.4.0 |
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- Tokenizers 0.14.1 |
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