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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-base-samsum |
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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: samsum |
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type: samsum |
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config: samsum |
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split: test |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 47.355 |
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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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# flan-t5-base-samsum |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3736 |
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- Rouge1: 47.355 |
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- Rouge2: 23.7601 |
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- Rougel: 39.8403 |
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- Rougelsum: 43.4718 |
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- Gen Len: 17.1575 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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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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| 1.3641 | 1.0 | 921 | 1.3780 | 47.4054 | 23.6308 | 39.8273 | 43.3697 | 17.3004 | |
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| 1.3074 | 2.0 | 1842 | 1.3736 | 47.355 | 23.7601 | 39.8403 | 43.4718 | 17.1575 | |
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| 1.2592 | 3.0 | 2763 | 1.3740 | 47.2208 | 23.4972 | 39.7293 | 43.2546 | 17.2320 | |
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| 1.2232 | 4.0 | 3684 | 1.3794 | 47.9156 | 24.2451 | 40.2628 | 43.9122 | 17.4017 | |
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| 1.2042 | 5.0 | 4605 | 1.3780 | 47.8982 | 24.1707 | 40.2955 | 43.8939 | 17.3712 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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