Training in progress epoch 0

README.md

@@ -0,0 +1,52 @@
+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: AdwayK/biobert_ncbi_disease_ner_tuned_on_TAC2017
+  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. -->
+
+# AdwayK/biobert_ncbi_disease_ner_tuned_on_TAC2017
+
+This model is a fine-tuned version of [ugaray96/biobert_ncbi_disease_ner](https://huggingface.co/ugaray96/biobert_ncbi_disease_ner) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.5377
+- Validation Loss: 0.1269
+- 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': 975, '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 | Epoch |
+|:----------:|:---------------:|:-----:|
+| 0.5377     | 0.1269          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- TensorFlow 2.8.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "ugaray96/biobert_ncbi_disease_ner",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "do_lower_case": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-ADR",
+    "2": "I-ADR"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ADR": "1",
+    "I-ADR": "2",
+    "O": "0"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.18.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

special_tokens_map.json

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

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7fbcba93a89f264c752f40d3998c82117d8a3d0b6cc7b4b44058552554ce6314
+size 431173652

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": null, "max_len": 512, "special_tokens_map_file": "/home/unai/.cache/huggingface/transformers/65d582748e4126e85861f641572937b543935995a2ffc620e0ae90a86404bfa9.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "ugaray96/biobert_ncbi_disease_ner", "tokenizer_class": "BertTokenizer"}