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FS_27_06normal_original

Text Classification
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roberta
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +71 -0
  2. config.json +51 -0
  3. merges.txt +0 -0
  4. 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: projecte-aina/roberta-base-ca-v2
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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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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: output
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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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+ # output
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+
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+ This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2062
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+ - Accuracy: 0.674
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+ - Precision: 0.3364
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+ - Recall: 0.4130
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+ - F1: 0.3663
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 2.2715 | 1.0 | 568 | 1.6059 | 0.558 | 0.2024 | 0.2319 | 0.1918 |
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+ | 1.4728 | 2.0 | 1136 | 1.2854 | 0.644 | 0.3297 | 0.3636 | 0.3367 |
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+ | 1.1552 | 3.0 | 1704 | 1.2062 | 0.674 | 0.3364 | 0.4130 | 0.3663 |
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+ | 0.8737 | 4.0 | 2272 | 1.2907 | 0.662 | 0.4354 | 0.4474 | 0.4240 |
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+ | 0.7023 | 5.0 | 2840 | 1.3429 | 0.658 | 0.4609 | 0.4661 | 0.4461 |
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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
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+ "_name_or_path": "projecte-aina/roberta-base-ca-v2",
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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": "Aig\u00fces",
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+ "1": "Consum, comer\u00e7 i mercats",
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+ "2": "Cultura",
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+ "3": "Economia",
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+ "4": "Educaci\u00f3",
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+ "5": "Enllumenat p\u00fablic",
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+ "6": "Esports",
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+ "7": "Habitatge",
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+ "8": "Horta",
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+ "9": "Informaci\u00f3 general",
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+ "10": "Inform\u00e0tica",
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+ "11": "Joventut",
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+ "12": "Medi ambient",
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+ "13": "Neteja de la via p\u00fablica",
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+ "14": "Salut p\u00fablica i Cementiri",
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+ "15": "Seguretat",
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+ "16": "Serveis socials",
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+ "17": "Tramitacions",
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+ "18": "Urbanisme",
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+ "19": "Via p\u00fablica i mobilitat"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "vocab_size": 50262
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+ }
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