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itay-nakash
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unet_small2_new

Transformers
Safetensors
crammedBERT
Inference Endpoints
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unet_small2_new
File size: 2,792 Bytes 
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{
  "arch": {
    "architectures": [
      "ScriptableCrammedBERT"
    ],
    "attention": {
      "causal_attention": false,
      "dropout_prob": 0.1,
      "num_attention_heads": 12,
      "qkv_bias": false,
      "rotary_embedding": false,
      "seq_op_in_fp32": false,
      "sequence_op": "torch-softmax",
      "skip_output_projection": false,
      "transform_length_by_layer": [
        [
          128,
          "avg",
          true
        ],
        [
          128,
          "avg",
          true
        ],
        [
          64,
          "avg",
          false
        ],
        [
          32,
          "avg",
          false
        ],
        [
          16,
          "avg",
          false
        ],
        [
          8,
          "avg",
          false
        ],
        [
          4,
          "avg",
          false
        ],
        [
          2,
          "avg",
          false
        ],
        [
          2,
          "avg",
          true
        ],
        [
          4,
          "avg",
          true
        ],
        [
          8,
          "avg",
          true
        ],
        [
          16,
          "avg",
          true
        ],
        [
          32,
          "avg",
          true
        ],
        [
          64,
          "avg",
          true
        ],
        [
          128,
          "avg",
          true
        ],
        [
          128,
          "avg",
          true
        ],
        [
          128,
          "avg",
          true
        ]
      ],
      "type": "self-attention"
    },
    "classification_head": {
      "classifier_dropout": 0.1,
      "head_dim": 1024,
      "include_ff_layer": true,
      "nonlin": "Tanh",
      "pooler": "avg"
    },
    "decoder_bias": false,
    "embedding": {
      "dropout_prob": 0.1,
      "embedding_dim": 768,
      "max_seq_length": 128,
      "normalization": true,
      "pad_token_id": 0,
      "pos_embedding": "scaled-sinusoidal",
      "stable_low_precision": false,
      "vocab_size": 32768
    },
    "ffn_layer_frequency": 1,
    "final_norm": true,
    "hidden_dropout_prob": 0.1,
    "hidden_size": 768,
    "init": {
      "std": 0.02,
      "type": "normal"
    },
    "intermed_size": 3072,
    "loss": "cross-entropy",
    "nonlin": "GELUglu",
    "norm": "LayerNorm",
    "norm_eps": 1e-12,
    "norm_scheme": "pre",
    "num_labels": null,
    "num_transformer_layers": 16,
    "objective_layout": "MLM",
    "residual_add": "interp_avg",
    "skip_head_transform": true,
    "sparse_prediction": 0.25,
    "tie_weights": true,
    "unet_add": true,
    "use_bias": false
  },
  "architectures": [
    "ScriptableLMForPreTraining"
  ],
  "model_type": "crammedBERT",
  "torch_dtype": "float32",
  "transformers_version": "4.27.1"
}