donut-fine-tune-cord / config.json
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{
"architectures": [
"VisionEncoderDecoderModel"
],
"decoder": {
"activation_dropout": 0.0,
"activation_function": "gelu",
"add_cross_attention": true,
"add_final_layer_norm": true,
"attention_dropout": 0.0,
"classifier_dropout": 0.0,
"d_model": 1024,
"decoder_attention_heads": 16,
"decoder_ffn_dim": 4096,
"decoder_layerdrop": 0.0,
"decoder_layers": 4,
"dropout": 0.1,
"encoder_attention_heads": 16,
"encoder_ffn_dim": 4096,
"encoder_layerdrop": 0.0,
"encoder_layers": 12,
"init_std": 0.02,
"is_decoder": true,
"is_encoder_decoder": false,
"max_position_embeddings": 1536,
"model_type": "mbart",
"num_hidden_layers": 12,
"scale_embedding": true,
"torch_dtype": "float32",
"use_cache": true,
"vocab_size": 57580
},
"decoder_start_token_id": 57579,
"encoder": {
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
14,
2
],
"drop_path_rate": 0.1,
"embed_dim": 128,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"image_size": [
2560,
1920
],
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "donut-swin",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"num_layers": 4,
"patch_size": 4,
"path_norm": true,
"qkv_bias": true,
"torch_dtype": "float32",
"use_absolute_embeddings": false,
"window_size": 10
},
"image_size": [
1280,
960
],
"is_encoder_decoder": true,
"max_length": null,
"model_type": "vision-encoder-decoder",
"pad_token_id": 1,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.51.3"
}