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--- |
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base_model: google/umt5-base |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: umt5-base-quechua-espanol-finetuned-model |
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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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# umt5-base-quechua-espanol-finetuned-model |
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This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7343 |
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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: 0.0002 |
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- train_batch_size: 22 |
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- eval_batch_size: 4 |
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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: constant |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 5.1343 | 0.1581 | 700 | 2.7338 | |
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| 3.0956 | 0.3162 | 1400 | 2.3095 | |
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| 2.5227 | 0.4744 | 2100 | 2.0817 | |
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| 2.3735 | 0.6325 | 2800 | 1.9237 | |
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| 2.1474 | 0.7906 | 3500 | 1.8187 | |
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| 2.0653 | 0.9487 | 4200 | 1.7343 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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