File size: 1,462 Bytes
fb74cd4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
{
"architectures": [
"ParakeetForCTC"
],
"blank_token_id": 1024,
"bos_token_id": 1,
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": true,
"encoder_config": {
"activation_dropout": 0.1,
"architectures": [
"ParakeetEncoder"
],
"attention_dropout": 0.1,
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 1,
"conv_kernel_size": 9,
"dropout": 0.1,
"dropout_emb": 0.0,
"dropout_positions": 0.0,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layerdrop": 0.1,
"max_position_embeddings": 5000,
"model_type": "parakeet_encoder",
"nemo_decoder_type": "nemo.collections.asr.modules.ConvASRDecoder",
"nemo_encoder_type": "nemo.collections.asr.modules.ConformerEncoder",
"nemo_model_type": "parakeet",
"num_attention_heads": 8,
"num_hidden_layers": 42,
"num_mel_bins": 80,
"pad_token_id": 0,
"scale_input": true,
"subsampling_conv_channels": 256,
"subsampling_conv_kernel_size": 3,
"subsampling_conv_stride": 2,
"subsampling_factor": 8,
"use_bias": true,
"vocab_size": 1024,
"xscaling": true
},
"eos_token_id": 2,
"initializer_range": 0.02,
"model_type": "parakeet",
"pad_token_id": 1024,
"torch_dtype": "float32",
"transformers_version": "4.55.0.dev0",
"use_bias": true,
"vocab_size": 1025
}
|