| { | |
| "architectures": ["BertForSequenceClassification"], | |
| "model_type": "bert", | |
| "pipeline_tag": "text-classification", | |
| "dataset_name": "dkshjn/hindi_toxic", | |
| "model_name": "google-bert/bert-base-multilingual-uncased", | |
| "batch_size": 16, | |
| "epochs": 5, | |
| "max_length": 128, | |
| "learning_rate": 2e-05, | |
| "accumulation_steps": 2, | |
| "embedding_dim": 768, | |
| "hidden_size": 768, | |
| "num_labels": 2, | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_dropout_prob": 0.1, | |
| "id2label": { | |
| "0": "non-toxic", | |
| "1": "toxic" | |
| }, | |
| "label2id": { | |
| "non-toxic": 0, | |
| "toxic": 1 | |
| }, | |
| "torch_dtype": "float32" | |
| } | |