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--- |
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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: t5-small-finetuned-vehidefe |
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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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# t5-small-finetuned-vehidefe |
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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: 1.2321 |
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- Rouge1: 0.5062 |
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- Rouge2: 0.129 |
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- Rougel: 0.4421 |
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- Rougelsum: 0.4549 |
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- Gen Len: 0.6333 |
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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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- 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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### 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 | 27 | 6.3138 | 52.0293 | 34.0296 | 48.1309 | 48.2154 | 15.7417 | |
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| No log | 2.0 | 54 | 2.5506 | 38.203 | 24.615 | 35.4364 | 35.5338 | 12.3 | |
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| No log | 3.0 | 81 | 1.4362 | 9.2948 | 5.4495 | 8.4841 | 8.6202 | 4.4583 | |
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| No log | 4.0 | 108 | 1.2562 | 2.9686 | 1.4036 | 2.6236 | 2.7085 | 1.8917 | |
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| No log | 5.0 | 135 | 1.2336 | 0.9124 | 0.248 | 0.8012 | 0.8077 | 0.95 | |
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| No log | 6.0 | 162 | 1.2321 | 0.5062 | 0.129 | 0.4421 | 0.4549 | 0.6333 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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