Upload TFBertForSequenceClassification

README.md

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+---
+base_model: jicoc22578/autotrain-livedoor_news-722922024
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Megagon-step1_model
+  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. -->
+
+# Megagon-step1_model
+
+This model is a fine-tuned version of [jicoc22578/autotrain-livedoor_news-722922024](https://huggingface.co/jicoc22578/autotrain-livedoor_news-722922024) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0806
+- Train Accuracy: 0.9711
+- Validation Loss: 0.2171
+- Validation Accuracy: 0.9351
+- 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 2832, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.3175     | 0.9077         | 0.2711          | 0.9234              | 0     |
+| 0.1671     | 0.9429         | 0.2022          | 0.9444              | 1     |
+| 0.0806     | 0.9711         | 0.2171          | 0.9351              | 2     |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- TensorFlow 2.13.0
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "jicoc22578/autotrain-livedoor_news-722922024",
+  "_num_labels": 9,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "dokujo-tsushin",
+    "1": "it-life-hack",
+    "2": "kaden-channel",
+    "3": "livedoor-homme",
+    "4": "movie-enter",
+    "5": "peachy",
+    "6": "smax",
+    "7": "sports-watch",
+    "8": "topic-news"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "dokujo-tsushin": 0,
+    "it-life-hack": 1,
+    "kaden-channel": 2,
+    "livedoor-homme": 3,
+    "movie-enter": 4,
+    "peachy": 5,
+    "smax": 6,
+    "sports-watch": 7,
+    "topic-news": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 128,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "padding": "max_length",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "BertJapaneseTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32768
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:984bd3ec1f0a95937d578d123a84163de2eeb30e715c9c15873c490d3a3a7bae
+size 445144372