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--- |
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base_model: minhcrafters/flan-t5-base-minhcrafters |
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library_name: transformers |
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license: apache-2.0 |
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metrics: |
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- rouge |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-base-minhcrafters-pychael |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/minhcrafters/flan-t5-base-minhcrafters-pychael/runs/u9lap8kb) |
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# flan-t5-base-minhcrafters-pychael |
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This model is a fine-tuned version of [minhcrafters/flan-t5-base-minhcrafters](https://huggingface.co/minhcrafters/flan-t5-base-minhcrafters) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3124 |
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- Rouge1: 34.6663 |
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- Rouge2: 4.3603 |
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- Rougel: 34.6073 |
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- Rougelsum: 34.5948 |
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- Gen Len: 14.1035 |
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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: 5e-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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| 1.4472 | 1.0 | 1371 | 1.3073 | 32.4779 | 4.0481 | 32.3997 | 32.3826 | 14.6786 | |
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| 1.2634 | 2.0 | 2742 | 1.2974 | 33.5824 | 4.204 | 33.5354 | 33.5345 | 14.4730 | |
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| 1.223 | 3.0 | 4113 | 1.2969 | 34.6222 | 3.9502 | 34.6111 | 34.5935 | 14.0926 | |
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| 1.1697 | 4.0 | 5484 | 1.3094 | 34.1347 | 4.3022 | 34.0956 | 34.0611 | 14.2515 | |
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| 1.079 | 5.0 | 6855 | 1.3124 | 34.6663 | 4.3603 | 34.6073 | 34.5948 | 14.1035 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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