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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: my_wikilingua_model2 |
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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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# my_wikilingua_model2 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5821 |
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- Rouge1: 0.2402 |
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- Rouge2: 0.0747 |
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- Rougel: 0.1991 |
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- Rougelsum: 0.1993 |
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- Gen Len: 18.82 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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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 | 100 | 2.6861 | 0.2284 | 0.0646 | 0.1832 | 0.183 | 18.9375 | |
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| No log | 2.0 | 200 | 2.6137 | 0.2343 | 0.0704 | 0.1919 | 0.1916 | 18.84 | |
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| No log | 3.0 | 300 | 2.5890 | 0.2384 | 0.0729 | 0.1967 | 0.1966 | 18.88 | |
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| No log | 4.0 | 400 | 2.5821 | 0.2402 | 0.0747 | 0.1991 | 0.1993 | 18.82 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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