pere commited on
Commit
49ea81c
1 Parent(s): 8549a8f

Training in progress, step 500

Browse files
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "facebook/wav2vec2-xls-r-300m",
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  "activation_dropout": 0.1,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
@@ -11,7 +11,7 @@
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  "attention_dropout": 0.0,
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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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  "contrastive_logits_temperature": 0.1,
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  "conv_bias": true,
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  "conv_dim": [
@@ -54,9 +54,9 @@
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  "final_dropout": 0.0,
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  "hidden_act": "gelu",
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  "hidden_dropout": 0.0,
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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": 0.0,
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  "mask_feature_length": 64,
@@ -73,11 +73,11 @@
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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": 32,
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- "proj_codevector_dim": 768,
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  "tdnn_dilation": [
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  {
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+ "_name_or_path": "facebook/wav2vec2-xls-r-1b",
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  "activation_dropout": 0.1,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
 
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  "attention_dropout": 0.0,
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  "bos_token_id": 1,
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  "classifier_proj_size": 256,
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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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  "final_dropout": 0.0,
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  "hidden_act": "gelu",
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.0,
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  "mask_feature_length": 64,
 
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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": 48,
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  "num_negatives": 100,
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+ "output_hidden_size": 1280,
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run.sh CHANGED
@@ -1,6 +1,6 @@
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  python run_speech_recognition_ctc.py \
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  --dataset_name="NbAiLab/NPSC" \
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- --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
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  --hub_model_id="NbAiLab/wav2vec2-xlsr-300M-NPSC-OH" \
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  --output_dir="./" \
@@ -9,7 +9,7 @@ python run_speech_recognition_ctc.py \
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  --per_device_train_batch_size="16" \
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  --gradient_accumulation_steps="4" \
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  --warmup_steps="2000" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
 
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  python run_speech_recognition_ctc.py \
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  --dataset_name="NbAiLab/NPSC" \
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+ --model_name_or_path="facebook/wav2vec2-xls-r-1b" \
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  --hub_model_id="NbAiLab/wav2vec2-xlsr-300M-NPSC-OH" \
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  --dataset_config_name="16K_mp3" \
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  --output_dir="./" \
 
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  --per_device_train_batch_size="16" \
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  --per_device_eval_batch_size="16" \
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  --gradient_accumulation_steps="4" \
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+ --learning_rate="2e-5" \
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  --warmup_steps="2000" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
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