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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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metrics: |
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- rouge |
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model-index: |
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- name: FLAN-T5-Base-Finetune-Remarks-Trend |
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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-Finetune-Remarks-Trend |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on trend remarks dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3399 |
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- Rouge1: 36.8734 |
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- Rouge2: 30.0539 |
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- Rougel: 34.3307 |
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- Rougelsum: 34.3313 |
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- Gen Len: 19.0 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-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: 4 |
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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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| 0.4722 | 1.0 | 1124 | 0.3844 | 36.439 | 29.4842 | 34.2141 | 34.2138 | 19.0 | |
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| 0.4071 | 2.0 | 2248 | 0.3552 | 36.8048 | 30.0131 | 34.2166 | 34.212 | 19.0 | |
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| 0.3922 | 3.0 | 3372 | 0.3438 | 36.8067 | 29.98 | 34.2816 | 34.2799 | 19.0 | |
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| 0.3862 | 4.0 | 4496 | 0.3399 | 36.8734 | 30.0539 | 34.3307 | 34.3313 | 19.0 | |
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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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