Training in progress epoch 0

README.md

@@ -0,0 +1,57 @@
+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: afrodp95/distilbert-base-uncased-finetuned-job-skills-ner
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# afrodp95/distilbert-base-uncased-finetuned-job-skills-ner
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.2208
+- Validation Loss: 0.0792
+- Train Precision: 0.4405
+- Train Recall: 0.3010
+- Train F1: 0.3576
+- Train Accuracy: 0.9839
+- Epoch: 0
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2310, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.2208     | 0.0792          | 0.4405          | 0.3010       | 0.3576   | 0.9839         | 0     |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- TensorFlow 2.8.2
+- Datasets 2.4.0
+- Tokenizers 0.12.1

config.json

@@ -0,0 +1,53 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-competencia-socioemocional",
+    "2": "I-competencia-socioemocional",
+    "3": "L-competencia-socioemocional",
+    "4": "U-competencia-socioemocional",
+    "5": "B-competencia-tecnica",
+    "6": "I-competencia-tecnica",
+    "7": "L-competencia-tecnica",
+    "8": "U-competencia-tecnica",
+    "9": "B-competencia-digital",
+    "10": "I-competencia-digital",
+    "11": "L-competencia-digital",
+    "12": "U-competencia-digital"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-competencia-digital": 9,
+    "B-competencia-socioemocional": 1,
+    "B-competencia-tecnica": 5,
+    "I-competencia-digital": 10,
+    "I-competencia-socioemocional": 2,
+    "I-competencia-tecnica": 6,
+    "L-competencia-digital": 11,
+    "L-competencia-socioemocional": 3,
+    "L-competencia-tecnica": 7,
+    "O": 0,
+    "U-competencia-digital": 12,
+    "U-competencia-socioemocional": 4,
+    "U-competencia-tecnica": 8
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.21.3",
+  "vocab_size": 30522
+}

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7c3f086d7387f6f2a0a4111ffcc1a6ac6edde253dd88a5fc5082ad7379ea7f6
+size 265618792

tokenizer_config.json

@@ -0,0 +1,14 @@
+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "distilbert-base-uncased",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}