Training in progress, step 1000

.gitignore

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+checkpoint-*/

config.json

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+{
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+ "activation_dropout": 0.0,
+ "adapter_kernel_size": 3,
+ "adapter_stride": 2,
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+ "architectures": [
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+ "codevector_dim": 768,
+ "contrastive_logits_temperature": 0.1,
+ "conv_bias": false,
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+ "ctc_loss_reduction": "mean",
+ "ctc_zero_infinity": false,
+ "diversity_loss_weight": 0.1,
+ "do_stable_layer_norm": true,
+ "eos_token_id": 2,
+ "feat_extract_activation": "gelu",
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+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-05,
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+ "model_type": "wavlm",
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+ "num_attention_heads": 16,
+ "num_buckets": 320,
+ "num_codevector_groups": 2,
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+ "num_conv_pos_embeddings": 128,
+ "num_ctc_classes": 80,
+ "num_feat_extract_layers": 7,
+ "num_hidden_layers": 24,
+ "num_negatives": 100,
+ "output_hidden_size": 1024,
+ "pad_token_id": 42,
+ "proj_codevector_dim": 768,
+ "replace_prob": 0.5,
+ "tdnn_dilation": [
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
+ "torch_dtype": "float32",
+ "transformers_version": "4.16.0.dev0",
+ "use_weighted_layer_sum": false,
+ "vocab_size": 45,
+ "xvector_output_dim": 512
+}

preprocessor_config.json

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+{
+ "do_normalize": true,
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+ "feature_size": 1,
+ "padding_side": "right",
+ "padding_value": 0.0,
+ "return_attention_mask": false,
+ "sampling_rate": 16000
+}

pytorch_model.bin

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training_args.bin

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