fm-tc-hybridXML-MULTILINGUAL-spain-cat-end-10ep

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: soluciona_fm_tcv_1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# soluciona_fm_tcv_1
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0260
+- Accuracy: 0.996
+- Precision: 0.9962
+- Recall: 0.9960
+- F1: 0.9960
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.9405        | 1.0   | 675  | 0.1074          | 0.978    | 0.9793    | 0.9778 | 0.9780 |
+| 0.106         | 2.0   | 1350 | 0.0876          | 0.986    | 0.9866    | 0.9861 | 0.9860 |
+| 0.0237        | 3.0   | 2025 | 0.0491          | 0.992    | 0.9923    | 0.9920 | 0.9920 |
+| 0.0181        | 4.0   | 2700 | 0.0620          | 0.988    | 0.9897    | 0.9879 | 0.9880 |
+| 0.0206        | 5.0   | 3375 | 0.0332          | 0.994    | 0.9943    | 0.9940 | 0.9940 |
+| 0.0071        | 6.0   | 4050 | 0.0260          | 0.996    | 0.9962    | 0.9960 | 0.9960 |
+| 0.0012        | 7.0   | 4725 | 0.0416          | 0.996    | 0.9962    | 0.9960 | 0.9960 |
+| 0.009         | 8.0   | 5400 | 0.0723          | 0.994    | 0.9943    | 0.9940 | 0.9940 |
+| 0.0001        | 9.0   | 6075 | 0.0447          | 0.996    | 0.9962    | 0.9960 | 0.9960 |
+| 0.0001        | 10.0  | 6750 | 0.0469          | 0.996    | 0.9962    | 0.9960 | 0.9960 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "FacebookAI/xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "1",
+    "2": "2",
+    "3": "3",
+    "4": "4",
+    "5": "5",
+    "6": "6",
+    "7": "7",
+    "8": "8",
+    "9": "9",
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+    "11": "11",
+    "12": "12",
+    "13": "13",
+    "14": "14",
+    "15": "15"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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special_tokens_map.json

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tokenizer_config.json

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+}

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