Training in progress, step 500
Browse files- config.json +33 -3
- pytorch_model.bin +1 -1
- training_args.bin +2 -2
config.json
CHANGED
@@ -1,12 +1,16 @@
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{
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"_name_or_path": "facebook/wav2vec2-base",
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"activation_dropout": 0.0,
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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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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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@@ -48,7 +52,6 @@
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"freeze_feat_extract_train": true,
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-
"gradient_checkpointing": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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@@ -62,8 +65,10 @@
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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@@ -71,6 +76,7 @@
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"pad_token_id": 29,
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"proj_codevector_dim": 256,
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"torch_dtype": "float32",
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-
"transformers_version": "4.
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-
"
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}
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{
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"_name_or_path": "facebook/wav2vec2-base",
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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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+
"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 29,
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"proj_codevector_dim": 256,
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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": "4.15.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 377670039
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version https://git-lfs.github.com/spec/v1
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oid sha256:c23b06f74030974c95aefc3171a0f413843effaf059ad482bba951996a320f28
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size 377670039
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:d8ec2b8d3bd6abd93e591dc453ae394ea802bd4373ed86cf84f21f9ed38d98ce
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+
size 2927
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