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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: resume_label_summary_model
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results: []
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# resume_label_summary_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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## Model description
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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:
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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 | 0
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### Framework versions
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license: apache-2.0
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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: resume_label_summary_model
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results: []
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# resume_label_summary_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9802
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- Rouge1: 0.3129
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- Rouge2: 0.191
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- Rougel: 0.3133
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- Rougelsum: 0.3126
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- Gen Len: 15.4611
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## Model description
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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: 2
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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 | 49 | 2.6885 | 0.209 | 0.0961 | 0.21 | 0.2094 | 18.4456 |
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| No log | 2.0 | 98 | 1.9802 | 0.3129 | 0.191 | 0.3133 | 0.3126 | 15.4611 |
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### Framework versions
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