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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: t5-small-t5-dialogue-summarizer |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: samsum |
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type: samsum |
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config: samsum |
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split: validation |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 41.7031 |
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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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# t5-small-t5-dialogue-summarizer |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7687 |
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- Rouge1: 41.7031 |
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- Rouge2: 18.7783 |
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- Rougel: 35.1492 |
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- Rougelsum: 38.6317 |
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- Gen Len: 16.5685 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 6 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 460 | 1.8087 | 40.9414 | 18.2439 | 34.4046 | 38.0469 | 16.4645 | |
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| 1.9998 | 2.0 | 921 | 1.7943 | 41.09 | 18.2457 | 34.4794 | 38.098 | 16.5538 | |
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| 1.9621 | 3.0 | 1381 | 1.7809 | 41.6111 | 18.5089 | 34.9893 | 38.6344 | 16.5795 | |
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| 1.9445 | 4.0 | 1842 | 1.7731 | 41.7145 | 18.7104 | 35.1886 | 38.7006 | 16.6198 | |
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| 1.9227 | 5.0 | 2302 | 1.7702 | 41.5079 | 18.5223 | 34.9946 | 38.4816 | 16.5575 | |
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| 1.9142 | 5.99 | 2760 | 1.7687 | 41.7031 | 18.7783 | 35.1492 | 38.6317 | 16.5685 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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