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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: mymodel_LORA_base_10k_2e5_3epoch_batch16_T4 |
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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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# mymodel_LORA_base_10k_2e5_3epoch_batch16_T4 |
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9509 |
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- Rouge1: 0.5087 |
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- Rouge2: 0.21 |
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- Rougel: 0.3279 |
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- Rougelsum: 0.3278 |
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- Gen Len: 47.1885 |
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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: 3 |
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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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| 2.904 | 1.0 | 500 | 2.0384 | 0.4986 | 0.1981 | 0.323 | 0.3231 | 54.0445 | |
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| 2.167 | 2.0 | 1000 | 1.9662 | 0.5068 | 0.2053 | 0.3269 | 0.3268 | 54.8295 | |
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| 2.1217 | 3.0 | 1500 | 1.9509 | 0.5087 | 0.21 | 0.3279 | 0.3278 | 47.1885 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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