LogischeIP
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End of training
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README.md
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base_model: 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: Summary
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results: []
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# Summary
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown 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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- 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 | 282 | 1.
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### Framework versions
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base_model: 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: Summary
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results: []
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# Summary
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7430
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- Rouge1: 0.2448
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- Rouge2: 0.1173
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- Rougel: 0.2028
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- Rougelsum: 0.2029
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- Gen Len: 19.0
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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: 5
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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 | 282 | 1.7743 | 0.2429 | 0.1151 | 0.2007 | 0.2008 | 18.9976 |
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| 2.0101 | 2.0 | 564 | 1.7550 | 0.2448 | 0.1169 | 0.203 | 0.2032 | 18.9976 |
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| 2.0101 | 3.0 | 846 | 1.7477 | 0.2451 | 0.1178 | 0.2034 | 0.2036 | 18.9976 |
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| 1.9145 | 4.0 | 1128 | 1.7441 | 0.2449 | 0.1173 | 0.2028 | 0.203 | 18.9976 |
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| 1.9145 | 5.0 | 1410 | 1.7430 | 0.2448 | 0.1173 | 0.2028 | 0.2029 | 19.0 |
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### Framework versions
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model.safetensors
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runs/Dec19_00-52-23_4cf18d860c90/events.out.tfevents.1702947144.4cf18d860c90.472.4
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