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--- |
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license: apache-2.0 |
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base_model: google/mt5-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: reviews_sum |
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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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# reviews_sum |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an [reviews](mirfan899/movies_reviews_summaries) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0004 |
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- Rouge1: 0.0606 |
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- Rouge2: 0.0075 |
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- Rougel: 0.0615 |
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- Rougelsum: 0.0611 |
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- Gen Len: 19.0 |
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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: 0.001 |
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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 | 395 | 2.2625 | 0.0346 | 0.0069 | 0.035 | 0.0352 | 18.9778 | |
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| 3.319 | 2.0 | 790 | 2.1100 | 0.0419 | 0.0093 | 0.0428 | 0.0426 | 19.0 | |
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| 2.2853 | 3.0 | 1185 | 2.0675 | 0.047 | 0.0061 | 0.0483 | 0.0481 | 19.0 | |
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| 2.0122 | 4.0 | 1580 | 2.0005 | 0.0584 | 0.0095 | 0.0601 | 0.0599 | 19.0 | |
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| 2.0122 | 5.0 | 1975 | 2.0004 | 0.0606 | 0.0075 | 0.0615 | 0.0611 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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