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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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model-index: |
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- name: ADL_test |
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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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# ADL_test |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9924 |
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- Rouge-1: 19.8975 |
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- Rouge-2: 7.0134 |
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- Rouge-l: 18.2845 |
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- Gen Len: 14.3786 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adafactor |
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- lr_scheduler_type: linear |
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- num_epochs: 4.0 |
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### Training results |
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| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | |
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|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|:-------:|:-------:| |
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| 6.0773 | 1.0 | 1356 | 11.8835 | 4.1822 | 17.4884 | 6.039 | 16.4024 | |
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| 5.0033 | 2.0 | 2713 | 13.385 | 4.0972 | 18.9145 | 6.6873 | 17.5342 | |
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| 4.7707 | 3.0 | 4068 | 14 | 4.019 | 19.62 | 6.908 | 18.08 | |
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| 4.7391 | 4.0 | 5424 | 14.3786 | 3.992 | 19.9 | 7.013 | 18.28 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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