Upload Wav2Vec2ForCTC
Browse files- config.json +120 -0
- pytorch_model.bin +3 -0
config.json
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@@ -0,0 +1,120 @@
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{
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"_name_or_path": "/nvme/restore/martijn/fine-tuning/gos/cp1_adp0_48m_no_test/wav2vec2-xls-r-300m-1e-5/checkpoint-12000",
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"bottleneck_adapter_act": "gelu",
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"bottleneck_adapter_dim": 256,
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"classifier_proj_size": 256,
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"cnn_adapter_do_norm": true,
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"cnn_adapter_in_conv_dim": 512,
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"cnn_adapter_kernel": 1,
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"cnn_adapter_out_conv_dim": 512,
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"cnn_adapter_stride": 1,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": true,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.004,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.075,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 16,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 0,
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"pretrained_model_name_or_path": "/nvme/martijn/pre-training/checkpoints/gos-full-cpt/wav2vec2-xls-r-300m-gos-full-cpt-no-test-1e-5/checkpoint-100000/",
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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2,
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3,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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5,
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3,
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3,
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1,
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1
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],
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"unfreeze_encoder": false,
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"unfreeze_layernorm": false,
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"use_bottleneck_adapter": false,
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"use_cnn_adapter": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 33,
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"xvector_output_dim": 512
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}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab252b44bab1e6bbb55d3364403092d53713ebf0582db3ff92505271be311703
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size 1262031277
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