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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: trainer_wheel_model |
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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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# trainer_wheel_model |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8911 |
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- Refined F1: 6.5281 |
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- Meteor: 14.3360 |
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- Bert Score F1: 80.5293 |
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- Rouge1: 11.9272 |
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- Rouge2: 1.9063 |
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- Rougel: 8.2440 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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 | Refined F1 | Meteor | Bert Score F1 | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:|:-------------:|:-------:|:------:|:------:| |
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| 3.1114 | 1.0 | 3535 | 2.9473 | 6.3827 | 14.0121 | 80.5994 | 12.0441 | 1.9421 | 8.4024 | |
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| 3.021 | 2.0 | 7070 | 2.9119 | 6.4954 | 14.0416 | 80.4270 | 11.8023 | 1.9007 | 8.2623 | |
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| 2.9904 | 3.0 | 10605 | 2.8950 | 6.5251 | 14.2535 | 80.5717 | 12.0747 | 1.9382 | 8.3584 | |
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| 2.9729 | 4.0 | 14140 | 2.8911 | 6.5281 | 14.3360 | 80.5293 | 11.9272 | 1.9063 | 8.2440 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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