Merge branch 'main' of https://huggingface.co/akaashp15/distilbert-base-uncased-finetuned-ner

README.md

@@ -1,7 +1,59 @@
 ---
-pipeline_tag: token-classification
-datasets:
-- conll2003
-library_name: transformers
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: akaashp15/distilbert-base-uncased-finetuned-ner
+  results: []
 ---
-Hello
+
+<!-- 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. -->
+
+# akaashp15/distilbert-base-uncased-finetuned-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: 0.0344
+- Validation Loss: 0.0597
+- Train Precision: 0.9253
+- Train Recall: 0.9356
+- Train F1: 0.9304
+- Train Accuracy: 0.9836
+- Epoch: 2
+
+## 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': 'Adam', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2631, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.1990     | 0.0712          | 0.8974          | 0.9226       | 0.9098   | 0.9790         | 0     |
+| 0.0544     | 0.0612          | 0.9148          | 0.9318       | 0.9232   | 0.9822         | 1     |
+| 0.0344     | 0.0597          | 0.9253          | 0.9356       | 0.9304   | 0.9836         | 2     |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- TensorFlow 2.13.0-rc2
+- Datasets 2.13.1
+- Tokenizers 0.13.3

special_tokens_map.json

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

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a08b21329becde3f2ec6e5d8cac973462c83d4ee6ca9decf5e920e07a005739
+size 265606416

tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}