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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: poem-gen-spanish-t5-small-d2
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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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# poem-gen-spanish-t5-small-d2
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This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9027
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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: 0.0003
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- train_batch_size: 6
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- eval_batch_size: 6
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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: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:------:|:---------------:|
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| 3.223 | 0.73 | 30000 | 3.1479 |
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| 3.0109 | 1.46 | 60000 | 3.0544 |
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| 2.8649 | 2.19 | 90000 | 2.9730 |
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| 2.7603 | 2.93 | 120000 | 2.9301 |
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| 2.6343 | 3.66 | 150000 | 2.9188 |
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| 2.5094 | 4.39 | 180000 | 2.9064 |
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| 2.391 | 5.12 | 210000 | 2.9073 |
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| 2.3592 | 5.85 | 240000 | 2.9022 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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