anah1tbaghdassarian's picture
Training in progress, epoch 1
b152ca1 verified
raw
history blame
1.91 kB
{
"_name_or_path": "facebook/w2v-bert-2.0",
"activation_dropout": 0.0,
"adapter_act": "relu",
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": true,
"apply_spec_augment": false,
"architectures": [
"Wav2Vec2BertForCTC"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"classifier_proj_size": 768,
"codevector_dim": 768,
"conformer_conv_dropout": 0.1,
"contrastive_logits_temperature": 0.1,
"conv_depthwise_kernel_size": 31,
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"eos_token_id": 2,
"feat_proj_dropout": 0.0,
"feat_quantizer_dropout": 0.0,
"feature_projection_input_dim": 160,
"final_dropout": 0.1,
"hidden_act": "swish",
"hidden_dropout": 0.0,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"layerdrop": 0.0,
"left_max_position_embeddings": 64,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
"mask_feature_prob": 0.0,
"mask_time_length": 10,
"mask_time_min_masks": 2,
"mask_time_prob": 0.0,
"max_source_positions": 5000,
"model_type": "wav2vec2-bert",
"num_adapter_layers": 1,
"num_attention_heads": 16,
"num_codevector_groups": 2,
"num_codevectors_per_group": 320,
"num_hidden_layers": 24,
"num_negatives": 100,
"output_hidden_size": 1024,
"pad_token_id": 41,
"position_embeddings_type": "relative_key",
"proj_codevector_dim": 768,
"right_max_position_embeddings": 8,
"rotary_embedding_base": 10000,
"tdnn_dilation": [
1,
2,
3,
1,
1
],
"tdnn_dim": [
512,
512,
512,
512,
1500
],
"tdnn_kernel": [
5,
3,
3,
1,
1
],
"torch_dtype": "float32",
"transformers_version": "4.40.2",
"use_intermediate_ffn_before_adapter": false,
"use_weighted_layer_sum": false,
"vocab_size": 44,
"xvector_output_dim": 512
}