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--- |
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license: mit |
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base_model: VietAI/vit5-base |
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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: vit5-base-standardized-color |
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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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# vit5-base-standardized-color |
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6954 |
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- Rouge1: 74.1444 |
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- Rouge2: 67.6733 |
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- Rougel: 73.6458 |
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- Rougelsum: 73.7053 |
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- Gen Len: 7.3623 |
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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: 4 |
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- eval_batch_size: 4 |
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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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### 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 | 472 | 0.7246 | 72.5851 | 65.9384 | 72.1305 | 72.0232 | 8.4407 | |
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| 1.0847 | 2.0 | 944 | 0.6714 | 73.9038 | 67.1961 | 73.5409 | 73.5136 | 6.214 | |
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| 0.5906 | 3.0 | 1416 | 0.6565 | 74.0155 | 67.4387 | 73.6696 | 73.6203 | 7.2754 | |
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| 0.464 | 4.0 | 1888 | 0.6696 | 74.3779 | 67.7236 | 73.9367 | 74.0007 | 7.214 | |
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| 0.389 | 5.0 | 2360 | 0.6954 | 74.1444 | 67.6733 | 73.6458 | 73.7053 | 7.3623 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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