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Training in progress, epoch 0
165eeb8 verified
{
"_name_or_path": "Xrenya/pvt-small-224",
"architectures": [
"PvtForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
3,
4,
6,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_sizes": [
64,
128,
320,
512
],
"id2label": {
"0": "ASCUS",
"1": "Cancer",
"2": "HSIL",
"3": "LSIL",
"4": "NILM",
"5": "Non-Diagnostic"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"ASCUS": 0,
"Cancer": 1,
"HSIL": 2,
"LSIL": 3,
"NILM": 4,
"Non-Diagnostic": 5
},
"layer_norm_eps": 1e-06,
"mlp_ratios": [
8,
8,
4,
4
],
"model_type": "pvt",
"num_attention_heads": [
1,
2,
5,
8
],
"num_channels": 3,
"num_encoder_blocks": 4,
"patch_sizes": [
4,
2,
2,
2
],
"problem_type": "single_label_classification",
"qkv_bias": true,
"reshape_last_stage": true,
"sequence_reduction_ratios": [
8,
4,
2,
1
],
"sr_ratios": [
8,
4,
2,
1
],
"strides": [
4,
2,
2,
2
],
"torch_dtype": "float32",
"transformers_version": "4.44.2"
}