End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: spa-eng-pos-tagging-v1.3
+  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. -->
+
+# spa-eng-pos-tagging-v1.3
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1650
+- Accuracy: 0.9471
+- Precision: 0.9372
+- Recall: 0.8815
+- F1: 0.8779
+- Hamming Loss: 0.0529
+
+## 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: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     | Hamming Loss |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------:|
+| 0.3809        | 1.0   | 1744  | 0.2945          | 0.8919   | 0.8798    | 0.8290 | 0.8221 | 0.1081       |
+| 0.2625        | 2.0   | 3488  | 0.2725          | 0.8975   | 0.9004    | 0.8279 | 0.8319 | 0.1025       |
+| 0.1918        | 3.0   | 5232  | 0.1901          | 0.9317   | 0.9224    | 0.8645 | 0.8618 | 0.0683       |
+| 0.1674        | 4.0   | 6976  | 0.1780          | 0.9369   | 0.9319    | 0.8695 | 0.8694 | 0.0631       |
+| 0.1478        | 5.0   | 8720  | 0.1816          | 0.9385   | 0.9303    | 0.8735 | 0.8697 | 0.0615       |
+| 0.1201        | 6.0   | 10464 | 0.1650          | 0.9471   | 0.9372    | 0.8815 | 0.8779 | 0.0529       |
+| 0.096         | 7.0   | 12208 | 0.1663          | 0.9493   | 0.9390    | 0.8851 | 0.8806 | 0.0507       |
+| 0.0844        | 8.0   | 13952 | 0.1715          | 0.9500   | 0.9421    | 0.8838 | 0.8815 | 0.0500       |
+| 0.0687        | 9.0   | 15696 | 0.1877          | 0.9502   | 0.9433    | 0.8816 | 0.8811 | 0.0498       |
+| 0.0573        | 10.0  | 17440 | 0.1949          | 0.9483   | 0.9444    | 0.8781 | 0.8799 | 0.0517       |
+| 0.0533        | 11.0  | 19184 | 0.1960          | 0.9544   | 0.9450    | 0.8872 | 0.8847 | 0.0456       |
+| 0.0399        | 12.0  | 20928 | 0.2012          | 0.9565   | 0.9494    | 0.8884 | 0.8876 | 0.0435       |
+| 0.031         | 13.0  | 22672 | 0.2119          | 0.9571   | 0.9496    | 0.8889 | 0.8879 | 0.0429       |
+| 0.0292        | 14.0  | 24416 | 0.2213          | 0.9587   | 0.9512    | 0.8906 | 0.8896 | 0.0413       |
+| 0.024         | 15.0  | 26160 | 0.2274          | 0.9587   | 0.9517    | 0.8899 | 0.8895 | 0.0413       |
+| 0.0198        | 16.0  | 27904 | 0.2314          | 0.9591   | 0.8894    | 0.8905 | 0.8899 | 0.0409       |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
+    "11": "LABEL_11",
+    "12": "LABEL_12",
+    "13": "LABEL_13",
+    "14": "LABEL_14",
+    "15": "LABEL_15",
+    "16": "LABEL_16"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_10": 10,
+    "LABEL_11": 11,
+    "LABEL_12": 12,
+    "LABEL_13": 13,
+    "LABEL_14": 14,
+    "LABEL_15": 15,
+    "LABEL_16": 16,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

pytorch_model.bin

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training_args.bin

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