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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ base_model: dccuchile/distilbert-base-spanish-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: Prototipo_4_EMI
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+ results: []
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+ ---
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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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+
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+ # Prototipo_4_EMI
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+
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+ This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0406
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+ - Accuracy: 0.5567
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 50
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+ - eval_batch_size: 50
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.3118 | 0.3704 | 200 | 1.2660 | 0.4457 |
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+ | 1.0828 | 0.7407 | 400 | 1.0757 | 0.5203 |
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+ | 1.0145 | 1.1111 | 600 | 1.0380 | 0.534 |
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+ | 0.9955 | 1.4815 | 800 | 1.0184 | 0.5377 |
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+ | 0.9449 | 1.8519 | 1000 | 0.9944 | 0.5507 |
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+ | 0.9143 | 2.2222 | 1200 | 1.0077 | 0.5533 |
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+ | 0.8609 | 2.5926 | 1400 | 1.0104 | 0.5473 |
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+ | 0.882 | 2.9630 | 1600 | 1.0037 | 0.5507 |
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+ | 0.8049 | 3.3333 | 1800 | 1.0202 | 0.5593 |
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+ | 0.8045 | 3.7037 | 2000 | 1.0234 | 0.5503 |
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+ | 0.78 | 4.0741 | 2200 | 1.0280 | 0.5593 |
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+ | 0.7651 | 4.4444 | 2400 | 1.0411 | 0.5583 |
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+ | 0.7301 | 4.8148 | 2600 | 1.0406 | 0.5567 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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