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--- |
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license: apache-2.0 |
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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: mt5-large_V8901 |
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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-large_V8901 |
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This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7406 |
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- Rouge1: 19.3197 |
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- Rouge2: 4.1196 |
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- Rougel: 10.4848 |
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- Rougelsum: 18.1364 |
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- Gen Len: 547.0 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 11 |
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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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| 12.1229 | 2.11 | 500 | 3.9460 | 15.5693 | 2.3792 | 9.3813 | 14.6801 | 547.0 | |
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| 5.6736 | 4.21 | 1000 | 3.1634 | 17.0598 | 3.1505 | 9.4845 | 15.8919 | 547.0 | |
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| 3.84 | 6.32 | 1500 | 2.0725 | 25.9095 | 8.9258 | 13.9444 | 24.3476 | 547.0 | |
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| 3.6041 | 8.42 | 2000 | 2.7824 | 19.0967 | 3.9799 | 10.5463 | 17.8219 | 547.0 | |
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| 3.3024 | 10.53 | 2500 | 2.7406 | 19.3197 | 4.1196 | 10.4848 | 18.1364 | 547.0 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.12.1+git7548e2f |
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- Datasets 2.13.2 |
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- Tokenizers 0.13.3 |
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