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--- |
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base_model: dccuchile/bert-base-spanish-wwm-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- muchocine |
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metrics: |
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- accuracy |
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model-index: |
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- name: bert-base-uncased-es-sentiment-analysis |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: muchocine |
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type: muchocine |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.792258064516129 |
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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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# bert-base-uncased-es-sentiment-analysis |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the muchocine dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9713 |
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- Accuracy: 0.7923 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.541 | 1.0 | 49 | 0.4618 | 0.7781 | |
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| 0.3157 | 2.0 | 98 | 0.4989 | 0.7742 | |
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| 0.1294 | 3.0 | 147 | 0.6931 | 0.8 | |
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| 0.0541 | 4.0 | 196 | 0.8284 | 0.7935 | |
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| 0.0254 | 5.0 | 245 | 0.9713 | 0.7923 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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