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--- |
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base_model: pysentimiento/robertuito-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- recall |
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- accuracy |
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model-index: |
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- name: robertuito-finetuned-class |
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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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# robertuito-finetuned-class |
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This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co/pysentimiento/robertuito-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6600 |
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- F1: 0.7394 |
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- Recall: 0.7425 |
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- Accuracy: 0.7564 |
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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: 2.989919952299843e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 15 |
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- distributed_type: multi-GPU |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 87 | 0.7059 | 0.6831 | 0.6717 | 0.7315 | |
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| No log | 2.0 | 174 | 0.6123 | 0.7420 | 0.7442 | 0.7629 | |
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| No log | 3.0 | 261 | 0.6600 | 0.7394 | 0.7425 | 0.7564 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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