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ClasificadorV7

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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Files changed (7) hide show
  1. README.md +62 -0
  2. best_model/config.json +42 -0
  3. best_model/model.safetensors +3 -0
  4. best_model/training_args.bin +3 -0
  5. config.json +42 -0
  6. model.safetensors +3 -0
  7. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: dccuchile/bert-base-spanish-wwm-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ClasificadorV7
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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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+ # ClasificadorV7
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+
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+ This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.9908
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+ - eval_accuracy: 0.587
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+ - eval_off_by_one_accuracy: 0.951
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+ - eval_f1: 0.5893
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+ - eval_recall: 0.587
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+ - eval_runtime: 11.1519
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+ - eval_samples_per_second: 448.354
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+ - eval_steps_per_second: 22.418
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+ - epoch: 3.3333
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+ - step: 12500
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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: 1e-05
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+ - train_batch_size: 20
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+ - eval_batch_size: 20
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 40
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.55,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.55,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ },
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 31002
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+ }
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+ {
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+ "max_position_embeddings": 512,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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