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Training complete

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  1. README.md +72 -0
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: mrm8488/electricidad-base-discriminator
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+ tags:
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+ - classification
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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: mi_clasificador_de_tweets
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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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+ # mi_clasificador_de_tweets
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+
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+ This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1312
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+ - Accuracy: 0.6809
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 12
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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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+ | No log | 1.0 | 23 | 1.7628 | 0.3404 |
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+ | No log | 2.0 | 46 | 1.6540 | 0.3404 |
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+ | No log | 3.0 | 69 | 1.4267 | 0.5745 |
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+ | No log | 4.0 | 92 | 1.2299 | 0.6170 |
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+ | No log | 5.0 | 115 | 1.1058 | 0.6170 |
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+ | No log | 6.0 | 138 | 1.1018 | 0.6596 |
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+ | No log | 7.0 | 161 | 1.1246 | 0.6809 |
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+ | No log | 8.0 | 184 | 1.0917 | 0.6170 |
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+ | No log | 9.0 | 207 | 1.1161 | 0.6170 |
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+ | No log | 10.0 | 230 | 1.1367 | 0.6596 |
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+ | No log | 11.0 | 253 | 1.1201 | 0.6809 |
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+ | No log | 12.0 | 276 | 1.1312 | 0.6809 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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