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--- |
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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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- pubmed-summarization |
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model-index: |
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- name: flan-t5-base-pubmed-summarization |
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results: [] |
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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-pubmed-summarization |
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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 pubmed-summarization dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6534 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.8896 | 1.0 | 14991 | 1.7152 | |
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| 1.8445 | 2.0 | 29982 | 1.6872 | |
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| 1.8061 | 3.0 | 44973 | 1.6689 | |
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| 1.7714 | 4.0 | 59964 | 1.6626 | |
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| 1.7764 | 5.0 | 74955 | 1.6597 | |
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| 1.7523 | 6.0 | 89946 | 1.6566 | |
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| 1.752 | 7.0 | 104937 | 1.6545 | |
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| 1.7281 | 8.0 | 119928 | 1.6538 | |
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| 1.7523 | 9.0 | 134919 | 1.6534 | |
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| 1.7439 | 10.0 | 149910 | 1.6534 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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