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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-v3 |
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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-v3 |
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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: 1.4864 |
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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: 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: constant |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.0774 | 0.2251 | 1000 | 2.5173 | |
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| 2.5309 | 0.4502 | 2000 | 2.1156 | |
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| 2.2481 | 0.6754 | 3000 | 1.8950 | |
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| 2.065 | 0.9005 | 4000 | 1.7553 | |
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| 1.8966 | 1.1256 | 5000 | 1.6603 | |
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| 1.8182 | 1.3507 | 6000 | 1.5891 | |
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| 1.762 | 1.5759 | 7000 | 1.5303 | |
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| 1.7083 | 1.8010 | 8000 | 1.4864 | |
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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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