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itay-nakash
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unet_small2_new

Transformers
Safetensors
crammedBERT
Inference Endpoints
Model card Files Community
unet_small2_new
File size: 3,178 Bytes 
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{
    "architectures": [
        "ScriptableCrammedBERT"
    ],
    "num_transformer_layers": 16,
    "hidden_size": 768,
    "intermed_size": 3072,
    "hidden_dropout_prob": 0.1,
    "norm": "LayerNorm",
    "norm_eps": 1e-12,
    "norm_scheme": "pre",
    "nonlin": "GELUglu",
    "tie_weights": true,
    "decoder_bias": false,
    "sparse_prediction": 0.25,
    "loss": "cross-entropy",
    "objective_layout": "MLM",
    "embedding": {
        "vocab_size": null,
        "pos_embedding": "scaled-sinusoidal",
        "dropout_prob": 0.1,
        "pad_token_id": 0,
        "max_seq_length": 128,
        "embedding_dim": 768,
        "normalization": true,
        "stable_low_precision": false
    },
    "residual_add": "interp_avg",
    "unet_add": true,
    "attention": {
        "type": "self-attention",
        "kernel_stride_by_layer": [
            [
                1,
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            ],
            [
                3,
                2,
                1,
                "replicate"
            ],
            [
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                "replicate"
            ],
            [
                3,
                2,
                1,
                "replicate"
            ],
            [
                3,
                2,
                1,
                "replicate"
            ],
            [
                3,
                2,
                1,
                "replicate"
            ],
            [
                3,
                2,
                1,
                "replicate"
            ],
            [
                1,
                1
            ],
            [
                1,
                0.5,
                1,
                "zeros"
            ],
            [
                3,
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            ],
            [
                3,
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            [
                3,
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            [
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            ],
            [
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        ],
        "causal_attention": false,
        "num_attention_heads": 12,
        "dropout_prob": 0.1,
        "unet_drop_skip": 0.0,
        "skip_output_projection": false,
        "qkv_bias": false,
        "rotary_embedding": false,
        "seq_op_in_fp32": false,
        "sequence_op": "torch-softmax"
    },
    "init": {
        "type": "normal",
        "std": 0.02
    },
    "ffn_layer_frequency": 1,
    "skip_head_transform": true,
    "use_bias": false,
    "final_norm": true,
    "num_labels": null,
    "classification_head": {
        "pooler": "avg",
        "include_ff_layer": true,
        "head_dim": 1024,
        "nonlin": "Tanh",
        "classifier_dropout": 0.1
    }
}