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my-model-SaBERT-Sentimento

Text Classification
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lBober/my-model-SaBERT-Sentimento

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  1. README.md +69 -0
  2. config.json +38 -0
  3. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
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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: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3077
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+ - Accuracy: 0.9548
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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: 10
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+ - eval_batch_size: 10
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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: 10
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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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+ | 0.3058 | 1.0 | 73 | 0.1954 | 0.9613 |
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+ | 0.1431 | 2.0 | 146 | 0.1769 | 0.9484 |
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+ | 0.0441 | 3.0 | 219 | 0.2798 | 0.9484 |
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+ | 0.03 | 4.0 | 292 | 0.2833 | 0.9484 |
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+ | 0.0216 | 5.0 | 365 | 0.3067 | 0.9484 |
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+ | 0.0206 | 6.0 | 438 | 0.3167 | 0.9419 |
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+ | 0.0114 | 7.0 | 511 | 0.3318 | 0.9355 |
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+ | 0.0065 | 8.0 | 584 | 0.3027 | 0.9548 |
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+ | 0.0027 | 9.0 | 657 | 0.3066 | 0.9548 |
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+ | 0.0016 | 10.0 | 730 | 0.3077 | 0.9548 |
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+
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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
config.json ADDED
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+ {
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+ "_name_or_path": "VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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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": 0.1,
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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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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "LABEL_2": 2
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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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