reichenbach
commited on
Commit
·
918850b
1
Parent(s):
26e16c8
Training in progress, step 400
Browse files- config.json +5 -5
- pytorch_model.bin +1 -1
- runs/Feb07_11-49-26_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/events.out.tfevents.1644234627.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.3352471.4 +2 -2
- runs/Feb07_14-20-19_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/1644243679.6059022/events.out.tfevents.1644243679.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.3352471.7 +3 -0
- runs/Feb07_14-20-19_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/events.out.tfevents.1644243679.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.3352471.6 +3 -0
- training_args.bin +1 -1
config.json
CHANGED
@@ -8,7 +8,7 @@
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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-
"attention_dropout": 0.
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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@@ -49,23 +49,23 @@
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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.
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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.
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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.
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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_prob": 0.
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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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"architectures": [
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"Wav2Vec2ForCTC"
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],
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+
"attention_dropout": 0.12,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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|
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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": 0.15,
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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": 0.12,
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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": 0.14,
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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_prob": 0.14,
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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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pytorch_model.bin
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ADDED
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training_args.bin
CHANGED
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