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raulgdp
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bert-beto-uncased-2026

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
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End of training

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Files changed (6) hide show
  1. README.md +70 -0
  2. model.safetensors +1 -1
  3. special_tokens_map.json +37 -0
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +58 -0
  6. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: bert-beto-uncased-2026
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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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+ # bert-beto-uncased-2026
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+
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1493
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+ - Precision: 0.8146
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+ - Recall: 0.8334
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+ - F1: 0.8239
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+ - Accuracy: 0.9696
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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: 16
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+ - eval_batch_size: 16
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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: 6
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1083 | 1.0 | 521 | 0.1194 | 0.7776 | 0.7681 | 0.7728 | 0.9637 |
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+ | 0.0688 | 2.0 | 1042 | 0.1125 | 0.7995 | 0.8257 | 0.8124 | 0.9684 |
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+ | 0.0416 | 3.0 | 1563 | 0.1172 | 0.8121 | 0.8376 | 0.8246 | 0.9692 |
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+ | 0.0288 | 4.0 | 2084 | 0.1345 | 0.8043 | 0.8271 | 0.8155 | 0.9681 |
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+ | 0.02 | 5.0 | 2605 | 0.1493 | 0.8146 | 0.8334 | 0.8239 | 0.9696 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.7.1+cu118
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+ - Datasets 4.2.0
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+ - Tokenizers 0.22.1
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special_tokens_map.json ADDED
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+ {
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+ "cls_token": {
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+ "content": "[CLS]",
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+ },
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+ "unk_token": {
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+ "content": "[UNK]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "special": true
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+ "1": {
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+ },
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+ "3": {
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+ "5": {
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "clean_up_tokenization_spaces": false,
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+ "cls_token": "[CLS]",
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+ "do_basic_tokenize": true,
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+ "do_lower_case": true,
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+ "extra_special_tokens": {},
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+ "mask_token": "[MASK]",
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+ "model_max_length": 512,
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+ "never_split": null,
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "strip_accents": false,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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