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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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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: flanT5_small_title_desc |
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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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# flanT5_small_title_desc |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0198 |
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- Rouge1: 2.9385 |
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- Rouge2: 1.7278 |
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- Rougel: 2.3658 |
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- Rougelsum: 2.5451 |
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- Gen Len: 18.9634 |
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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: 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: 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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| 0.0781 | 1.0 | 2020 | 0.0496 | 2.2624 | 1.1169 | 1.781 | 1.9142 | 18.8670 | |
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| 0.0476 | 2.0 | 4040 | 0.0309 | 2.635 | 1.4254 | 2.1038 | 2.2632 | 18.9406 | |
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| 0.0366 | 3.0 | 6060 | 0.0238 | 2.8703 | 1.642 | 2.284 | 2.4596 | 18.8908 | |
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| 0.0327 | 4.0 | 8080 | 0.0207 | 2.9212 | 1.7136 | 2.3494 | 2.5265 | 18.9626 | |
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| 0.0308 | 5.0 | 10100 | 0.0198 | 2.9385 | 1.7278 | 2.3658 | 2.5451 | 18.9634 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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