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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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- summarization
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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: mt5-small-finetuned_BBC
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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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# mt5-small-finetuned_BBC
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7853
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- Rouge1: 0.2188
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- Rouge2: 0.1377
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- Rougel: 0.1944
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- Rougelsum: 0.1972
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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: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 1.8481 | 1.0 | 223 | 0.9611 | 0.1966 | 0.1275 | 0.1759 | 0.1776 |
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| 1.4347 | 2.0 | 446 | 0.8815 | 0.2065 | 0.1199 | 0.1805 | 0.1837 |
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| 1.2585 | 3.0 | 669 | 0.8541 | 0.2129 | 0.1291 | 0.1880 | 0.1911 |
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| 1.192 | 4.0 | 892 | 0.8184 | 0.2149 | 0.1320 | 0.1893 | 0.1926 |
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| 1.1084 | 5.0 | 1115 | 0.8102 | 0.2156 | 0.1333 | 0.1908 | 0.1938 |
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| 1.0796 | 6.0 | 1338 | 0.7937 | 0.2168 | 0.1337 | 0.1913 | 0.1944 |
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| 1.0657 | 7.0 | 1561 | 0.7933 | 0.2181 | 0.1370 | 0.1939 | 0.1967 |
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| 1.0488 | 8.0 | 1784 | 0.7853 | 0.2188 | 0.1377 | 0.1944 | 0.1972 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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