ogtega commited on
Commit
757a5a2
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1 Parent(s): ec6f8a2

Training in progress epoch 0

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: ogtega/tweet-toxicity-classifier
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # ogtega/tweet-toxicity-classifier
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+
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.7899
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - 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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Epoch |
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+ |:----------:|:-----:|
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+ | 1.7899 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - TensorFlow 2.11.0
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "toxic",
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+ "1": "severe_toxic",
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+ "2": "obscene",
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+ "3": "threat",
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+ "4": "insult",
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+ "5": "identity_hate"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "transformers_version": "4.28.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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