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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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model-index: |
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- name: dialogsum-flan-t5-small |
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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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# dialogsum-flan-t5-small |
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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 [dialogsum](https://huggingface.co/datasets/knkarthick/dialogsum) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0964 |
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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: 0.001 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3977 | 1.0 | 779 | 0.1042 | |
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| 0.1331 | 2.0 | 1558 | 0.1020 | |
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| 0.1245 | 3.0 | 2337 | 0.0981 | |
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| 0.1183 | 4.0 | 3116 | 0.0977 | |
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| 0.1134 | 5.0 | 3895 | 0.0980 | |
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| 0.1091 | 6.0 | 4674 | 0.0977 | |
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| 0.1052 | 7.0 | 5453 | 0.0966 | |
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| 0.1023 | 8.0 | 6232 | 0.0961 | |
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| 0.0998 | 9.0 | 7011 | 0.0965 | |
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| 0.098 | 10.0 | 7790 | 0.0964 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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