End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: cc-by-nc-4.0
-base_model: facebook/mms-1b-all
+base_model: facebook/mms-tts-tur
 tags:
 - generated_from_trainer
 datasets:
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-mms-1b-turkish-colab
 
-This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset.
+This model is a fine-tuned version of [facebook/mms-tts-tur](https://huggingface.co/facebook/mms-tts-tur) on the common_voice_6_1 dataset.
 
 ## Model description
 
@@ -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

config.json

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "facebook/mms-1b-all",
-  "activation_dropout": 0.05,
-  "adapter_attn_dim": 16,
+  "_name_or_path": "facebook/mms-tts-tur",
+  "activation_dropout": 0.1,
+  "adapter_attn_dim": null,
   "adapter_kernel_size": 3,
   "adapter_stride": 2,
   "add_adapter": false,
@@ -12,9 +12,9 @@
   "attention_dropout": 0.0,
   "bos_token_id": 1,
   "classifier_proj_size": 256,
-  "codevector_dim": 1024,
+  "codevector_dim": 256,
   "contrastive_logits_temperature": 0.1,
-  "conv_bias": true,
+  "conv_bias": false,
   "conv_dim": [
     512,
     512,
@@ -44,22 +44,33 @@
   ],
   "ctc_loss_reduction": "mean",
   "ctc_zero_infinity": false,
+  "depth_separable_channels": 2,
+  "depth_separable_num_layers": 3,
   "diversity_loss_weight": 0.1,
-  "do_stable_layer_norm": true,
+  "do_stable_layer_norm": false,
+  "duration_predictor_dropout": 0.5,
+  "duration_predictor_filter_channels": 256,
+  "duration_predictor_flow_bins": 10,
+  "duration_predictor_kernel_size": 3,
+  "duration_predictor_num_flows": 4,
+  "duration_predictor_tail_bound": 5.0,
   "eos_token_id": 2,
   "feat_extract_activation": "gelu",
-  "feat_extract_dropout": 0.0,
-  "feat_extract_norm": "layer",
+  "feat_extract_norm": "group",
   "feat_proj_dropout": 0.0,
   "feat_quantizer_dropout": 0.0,
-  "final_dropout": 0.05,
-  "hidden_act": "gelu",
+  "ffn_dim": 768,
+  "ffn_kernel_size": 3,
+  "final_dropout": 0.1,
+  "flow_size": 192,
+  "hidden_act": "relu",
   "hidden_dropout": 0.0,
-  "hidden_size": 1280,
+  "hidden_size": 192,
   "initializer_range": 0.02,
-  "intermediate_size": 5120,
+  "intermediate_size": 3072,
   "layer_norm_eps": 1e-05,
   "layerdrop": 0.0,
+  "leaky_relu_slope": 0.1,
   "mask_feature_length": 10,
   "mask_feature_min_masks": 0,
   "mask_feature_prob": 0.0,
@@ -67,18 +78,50 @@
   "mask_time_min_masks": 2,
   "mask_time_prob": 0.05,
   "model_type": "wav2vec2",
+  "noise_scale": 0.667,
+  "noise_scale_duration": 0.8,
   "num_adapter_layers": 3,
-  "num_attention_heads": 16,
+  "num_attention_heads": 2,
   "num_codevector_groups": 2,
   "num_codevectors_per_group": 320,
   "num_conv_pos_embedding_groups": 16,
   "num_conv_pos_embeddings": 128,
   "num_feat_extract_layers": 7,
-  "num_hidden_layers": 48,
+  "num_hidden_layers": 6,
   "num_negatives": 100,
-  "output_hidden_size": 1280,
+  "num_speakers": 1,
+  "output_hidden_size": 192,
   "pad_token_id": 39,
-  "proj_codevector_dim": 1024,
+  "posterior_encoder_num_wavenet_layers": 16,
+  "prior_encoder_num_flows": 4,
+  "prior_encoder_num_wavenet_layers": 4,
+  "proj_codevector_dim": 256,
+  "resblock_dilation_sizes": [
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ],
+    [
+      1,
+      3,
+      5
+    ]
+  ],
+  "resblock_kernel_sizes": [
+    3,
+    7,
+    11
+  ],
+  "sampling_rate": 16000,
+  "speaker_embedding_size": 0,
+  "speaking_rate": 1.0,
+  "spectrogram_bins": 513,
   "tdnn_dilation": [
     1,
     2,
@@ -102,7 +145,26 @@
   ],
   "torch_dtype": "float32",
   "transformers_version": "4.33.0",
+  "upsample_initial_channel": 512,
+  "upsample_kernel_sizes": [
+    16,
+    16,
+    4,
+    4
+  ],
+  "upsample_rates": [
+    8,
+    8,
+    2,
+    2
+  ],
+  "use_bias": true,
+  "use_stochastic_duration_prediction": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 42,
+  "wavenet_dilation_rate": 1,
+  "wavenet_dropout": 0.0,
+  "wavenet_kernel_size": 5,
+  "window_size": 4,
   "xvector_output_dim": 512
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 50421025

training_args.bin

@@ -1,3 +1,3 @@
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