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--- |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-base-finetuned-mt5-base-poem4Final |
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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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# mt5-base-finetuned-mt5-base-poem4Final |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) 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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## 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 | 121 | nan | |
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| No log | 2.0 | 242 | nan | |
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| No log | 3.0 | 363 | nan | |
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| No log | 4.0 | 484 | nan | |
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| 0.0 | 5.0 | 605 | nan | |
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| 0.0 | 6.0 | 726 | nan | |
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| 0.0 | 7.0 | 847 | nan | |
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| 0.0 | 8.0 | 968 | nan | |
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| 0.0 | 9.0 | 1089 | nan | |
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| 0.0 | 10.0 | 1210 | nan | |
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| 0.0 | 11.0 | 1331 | nan | |
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| 0.0 | 12.0 | 1452 | nan | |
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| 0.0 | 13.0 | 1573 | nan | |
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| 0.0 | 14.0 | 1694 | nan | |
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| 0.0 | 15.0 | 1815 | nan | |
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| 0.0 | 16.0 | 1936 | nan | |
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| 0.0 | 17.0 | 2057 | nan | |
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| 0.0 | 18.0 | 2178 | nan | |
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| 0.0 | 19.0 | 2299 | nan | |
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| 0.0 | 20.0 | 2420 | nan | |
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### Framework versions |
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- Transformers 4.41.0 |
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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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