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---
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library_name: transformers
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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: sathwik_reddy_t5_summary
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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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# sathwik_reddy_t5_summary
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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: 2.4258
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- Rouge1: 0.3185
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- Rouge2: 0.1246
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- Rougel: 0.2850
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- Rougelsum: 0.2855
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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| 3.1533 | 1.0 | 440 | 2.5586 | 0.2832 | 0.1122 | 0.2578 | 0.2589 |
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| 3.0151 | 2.0 | 880 | 2.5020 | 0.2943 | 0.1113 | 0.2626 | 0.2635 |
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| 2.9157 | 3.0 | 1320 | 2.4919 | 0.3029 | 0.1158 | 0.2710 | 0.2716 |
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| 2.8355 | 4.0 | 1760 | 2.4670 | 0.3043 | 0.1163 | 0.2749 | 0.2753 |
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| 2.7702 | 5.0 | 2200 | 2.4386 | 0.3143 | 0.1220 | 0.2826 | 0.2834 |
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| 2.7169 | 6.0 | 2640 | 2.4322 | 0.3120 | 0.1202 | 0.2805 | 0.2807 |
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| 2.6884 | 7.0 | 3080 | 2.4255 | 0.3154 | 0.1222 | 0.2834 | 0.2839 |
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| 2.6671 | 8.0 | 3520 | 2.4258 | 0.3185 | 0.1246 | 0.2850 | 0.2855 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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