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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: test-dialogue-summarization-headers |
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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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# test-dialogue-summarization-headers |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4536 |
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- Rouge: {'rouge1': 44.8698, 'rouge2': 19.92, 'rougeL': 20.7147, 'rougeLsum': 20.7147} |
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- Bert Score: 0.8733 |
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- Bleurt 20: -0.8548 |
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- Gen Len: 15.305 |
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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: 2e-05 |
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- train_batch_size: 7 |
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- eval_batch_size: 7 |
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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 | Rouge | Bert Score | Bleurt 20 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------------------------------------------------------------------------------:|:----------:|:---------:|:-------:| |
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| 2.6545 | 1.0 | 186 | 2.5321 | {'rouge1': 45.8489, 'rouge2': 19.7993, 'rougeL': 20.5196, 'rougeLsum': 20.5196} | 0.8737 | -0.8571 | 15.16 | |
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| 2.6779 | 2.0 | 372 | 2.4884 | {'rouge1': 44.2284, 'rouge2': 19.6646, 'rougeL': 20.6804, 'rougeLsum': 20.6804} | 0.8737 | -0.8594 | 15.13 | |
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| 2.6701 | 3.0 | 558 | 2.4682 | {'rouge1': 44.6249, 'rouge2': 19.9539, 'rougeL': 20.6036, 'rougeLsum': 20.6036} | 0.8737 | -0.8576 | 15.25 | |
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| 2.597 | 4.0 | 744 | 2.4582 | {'rouge1': 45.0018, 'rouge2': 19.7794, 'rougeL': 20.647, 'rougeLsum': 20.647} | 0.8739 | -0.8582 | 15.295 | |
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| 2.5861 | 5.0 | 930 | 2.4536 | {'rouge1': 44.8698, 'rouge2': 19.92, 'rougeL': 20.7147, 'rougeLsum': 20.7147} | 0.8733 | -0.8548 | 15.305 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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