Training in progress, epoch 1
Browse files- config.json +60 -0
- preprocessor_config.json +28 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/beit-large-patch16-224",
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"architectures": [
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"BeitForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "HeadAbnormalities",
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"1": "NeckAbnormalities",
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"2": "Normal",
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"3": "TailAbnormalities"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"HeadAbnormalities": "0",
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"NeckAbnormalities": "1",
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"Normal": "2",
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"TailAbnormalities": "3"
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 0.1,
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"model_type": "beit",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"out_indices": [
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3,
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5,
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7,
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11
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],
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"patch_size": 16,
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"pool_scales": [
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1,
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2,
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3,
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6
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],
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.32.1",
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"use_absolute_position_embeddings": false,
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"use_auxiliary_head": true,
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"use_mask_token": false,
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"use_mean_pooling": true,
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"use_relative_position_bias": true,
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"use_shared_relative_position_bias": false,
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"vocab_size": 8192
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}
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": false,
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"do_normalize": true,
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"do_reduce_labels": false,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "BeitImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6d3ba65fc5e24a17a4140a27c4149413b56ebbffbccaab60cedfad8b814d17b
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size 1213789289
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6291712876f90baa6e91aa8e7a0f5205f3e57e07b3df950f23353a96f04f46f9
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size 4155
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