End of training

README.md

@@ -35,7 +35,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 32
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -43,6 +43,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 100
 - num_epochs: 4
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.33.0

adapter.tur.safetensors

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config.json

@@ -77,7 +77,7 @@
   "num_hidden_layers": 48,
   "num_negatives": 100,
   "output_hidden_size": 1280,
-  "pad_token_id": 1,
+  "pad_token_id": 39,
   "proj_codevector_dim": 1024,
   "tdnn_dilation": [
     1,
@@ -103,6 +103,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.33.0",
   "use_weighted_layer_sum": false,
-  "vocab_size": 81,
+  "vocab_size": 42,
   "xvector_output_dim": 512
 }

preprocessor_config.json

@@ -1,19 +1,9 @@
 {
-  "do_normalize": false,
-  "feature_extractor_type": "SpeechT5FeatureExtractor",
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
   "feature_size": 1,
-  "fmax": 7600,
-  "fmin": 80,
-  "frame_signal_scale": 1.0,
-  "hop_length": 16,
-  "mel_floor": 1e-10,
-  "num_mel_bins": 80,
   "padding_side": "right",
   "padding_value": 0.0,
-  "processor_class": "SpeechT5Processor",
-  "reduction_factor": 2,
   "return_attention_mask": true,
-  "sampling_rate": 16000,
-  "win_function": "hann_window",
-  "win_length": 64
+  "sampling_rate": 16000
 }

pytorch_model.bin

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training_args.bin

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