Upload TFBertForSequenceClassification

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ru_propaganda_opposition_model_bert-base-multilingual-cased
+  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. -->
+
+# ru_propaganda_opposition_model_bert-base-multilingual-cased
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0004
+- Validation Loss: 0.2406
+- Train Accuracy: 0.9551
+- Epoch: 14
+
+## 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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7695, '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-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 0.2769     | 0.1252          | 0.9474         | 0     |
+| 0.0922     | 0.1174          | 0.9573         | 1     |
+| 0.0506     | 0.1379          | 0.9507         | 2     |
+| 0.0280     | 0.1858          | 0.9463         | 3     |
+| 0.0204     | 0.1518          | 0.9584         | 4     |
+| 0.0148     | 0.1745          | 0.9496         | 5     |
+| 0.0091     | 0.2365          | 0.9419         | 6     |
+| 0.0054     | 0.1793          | 0.9606         | 7     |
+| 0.0057     | 0.1874          | 0.9595         | 8     |
+| 0.0032     | 0.2165          | 0.9540         | 9     |
+| 0.0020     | 0.6815          | 0.8970         | 10    |
+| 0.0061     | 0.2158          | 0.9496         | 11    |
+| 0.0007     | 0.2652          | 0.9452         | 12    |
+| 0.0002     | 0.2304          | 0.9595         | 13    |
+| 0.0004     | 0.2406          | 0.9551         | 14    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.17.0
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "google-bert/bert-base-multilingual-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "OPPOSITION",
+    "1": "PROPAGANDA"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "OPPOSITION": 0,
+    "PROPAGANDA": 1
+  },
+  "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",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85e7d3cd8caa7785595d067d7cf7f406669493e366ca8b9d632e10a337157e56
+size 711707928