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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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model-index: |
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- name: t5-large-multi_news |
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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-large-multi_news |
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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: 2.0627 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 2.2999 | 1.0 | 11243 | 2.1311 | |
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| 2.1376 | 2.0 | 22486 | 2.0726 | |
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| 2.0305 | 3.0 | 33729 | 2.0609 | |
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| 1.9771 | 4.0 | 44972 | 2.0571 | |
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| 1.9389 | 5.0 | 56215 | 2.0550 | |
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| 1.8816 | 6.0 | 67458 | 2.0551 | |
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| 1.8484 | 7.0 | 78701 | 2.0599 | |
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| 1.8248 | 8.0 | 89944 | 2.0604 | |
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| 1.8306 | 9.0 | 101187 | 2.0627 | |
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| 1.8182 | 10.0 | 112430 | 2.0627 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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