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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-base-finetuned-poemV2 |
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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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# t5-base-finetuned-poemV2 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1041 |
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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: 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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 282 | 0.1235 | |
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| 0.1391 | 2.0 | 564 | 0.1177 | |
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| 0.1391 | 3.0 | 846 | 0.1142 | |
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| 0.1209 | 4.0 | 1128 | 0.1133 | |
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| 0.1209 | 5.0 | 1410 | 0.1106 | |
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| 0.1141 | 6.0 | 1692 | 0.1137 | |
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| 0.1141 | 7.0 | 1974 | 0.1099 | |
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| 0.1113 | 8.0 | 2256 | 0.1059 | |
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| 0.1088 | 9.0 | 2538 | 0.1064 | |
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| 0.1088 | 10.0 | 2820 | 0.1070 | |
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| 0.1087 | 11.0 | 3102 | 0.1059 | |
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| 0.1087 | 12.0 | 3384 | 0.1054 | |
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| 0.1059 | 13.0 | 3666 | 0.1053 | |
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| 0.1059 | 14.0 | 3948 | 0.1050 | |
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| 0.1052 | 15.0 | 4230 | 0.1057 | |
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| 0.1049 | 16.0 | 4512 | 0.1044 | |
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| 0.1049 | 17.0 | 4794 | 0.1049 | |
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| 0.1035 | 18.0 | 5076 | 0.1044 | |
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| 0.1035 | 19.0 | 5358 | 0.1039 | |
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| 0.1034 | 20.0 | 5640 | 0.1041 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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