config.json

{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "datasets": [
    "imdb"
  ],
  "dtype": "float32",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "language": "en",
  "layer_norm_eps": 1e-12,
  "license": "mit",
  "max_position_embeddings": 512,
  "metrics": [
    "accuracy"
  ],
  "model-index": [
    {
      "name": "finetuned-bert-imdb",
      "results": [
        {
          "dataset": {
            "name": "IMDB",
            "type": "imdb"
          },
          "metrics": [
            {
              "name": "Accuracy",
              "type": "accuracy",
              "value": 0.802
            }
          ],
          "task": {
            "name": "Text Classification",
            "type": "text-classification"
          }
        }
      ]
    }
  ],
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tags": [
    "bert",
    "text-classification",
    "sentiment-analysis",
    "english",
    "imdb"
  ],
  "transformers_version": "4.57.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}