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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-large |
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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_fine_tuning_summary_t5_large_model_hf |
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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_fine_tuning_summary_t5_large_model_hf |
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This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Rouge1: 0.1329 |
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- Rouge2: 0.0498 |
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- Rougel: 0.1105 |
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- Rougelsum: 0.1106 |
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- Gen Len: 19.0 |
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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: 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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- 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: 20 |
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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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| 0.0 | 1.0 | 989 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 2.0 | 1978 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 3.0 | 2967 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 4.0 | 3956 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 5.0 | 4945 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 6.0 | 5934 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 7.0 | 6923 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 8.0 | 7912 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 9.0 | 8901 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 10.0 | 9890 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 11.0 | 10879 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 12.0 | 11868 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 13.0 | 12857 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 14.0 | 13846 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 15.0 | 14835 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 16.0 | 15824 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 17.0 | 16813 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 18.0 | 17802 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 19.0 | 18791 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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| 0.0 | 20.0 | 19780 | nan | 0.1329 | 0.0498 | 0.1105 | 0.1106 | 19.0 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.2 |
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