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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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metrics: |
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- f1 |
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model-index: |
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- name: flan-t5-base-intent |
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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-intent |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- F1: 100.0 |
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- Gen Len: 2.3333 |
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## Model description |
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Use double quotation for any tweet. 0: Anti-tobacco 1: Neutral 2: Pro-tobacco |
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## Intended uses & limitations |
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The fine tuned model by STOP is intended for Anti-tobacco/ Pro-tobacco monitoring for social media. |
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## Training and evaluation data |
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The model was developed and fine tuned in STOP, University of Bath, UK |
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Data used is sherif1311/intend which was collected, augmented and trained by STOP. |
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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: 0.0003 |
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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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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.14.4 |
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- Tokenizers 0.12.1 |
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