tiny-random-MCTCTModel / config.json
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{
"architectures": [
"MCTCTModel"
],
"attention_head_dim": 128,
"attention_probs_dropout_prob": 0.3,
"bos_token_id": 0,
"conv_channels": null,
"conv_dropout": 0.3,
"conv_glu_dim": 1,
"conv_kernel": [
7
],
"conv_stride": [
3
],
"ctc_loss_reduction": "sum",
"ctc_zero_infinity": false,
"eos_token_id": 2,
"hidden_act": "relu",
"hidden_dropout_prob": 0.3,
"hidden_size": 512,
"initializer_range": 0.02,
"input_channels": 1,
"input_feat_per_channel": 80,
"intermediate_size": 20,
"layer_norm_eps": 1e-05,
"layerdrop": 0.3,
"max_position_embeddings": 920,
"model_type": "mctct",
"num_attention_heads": 4,
"num_conv_layers": 1,
"num_hidden_layers": 4,
"pad_token_id": 1,
"torch_dtype": "float32",
"transformers_version": "4.28.0.dev0",
"vocab_size": 32
}