diff --git a/.compute b/.compute
index 57e3805e..63dea7a7 100644
--- a/.compute
+++ b/.compute
@@ -10,7 +10,7 @@ wget https://www.dropbox.com/s/wqn5v3wkktw9lmo/install.sh?dl=0 -O install.sh
 sudo sh install.sh
 python3 setup.py develop
 # cp -R ${USER_DIR}/GermanData ../tmp/
-python3 distribute.py --config_path config_tacotron_de.json  --data_path /data/rw/home/de_DE/ 
+python3 distribute.py --config_path config_libritts.json  --data_path /data/rw/home/LibriTTS/train-clean-360/
 # cp -R ${USER_DIR}/Mozilla_22050 ../tmp/
 # python3 distribute.py --config_path config_tacotron_gst.json  --data_path ../tmp/Mozilla_22050/
 while true; do sleep 1000000; done
diff --git a/config_libritts.json b/config_libritts.json
index 84f48a75..10db4714 100644
--- a/config_libritts.json
+++ b/config_libritts.json
@@ -6,7 +6,7 @@
         // Audio processing parameters
         "num_mels": 80,         // size of the mel spec frame. 
         "num_freq": 1025,       // number of stft frequency levels. Size of the linear spectogram frame.
-        "sample_rate": 24000,   // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
+        "sample_rate": 16000,   // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
         "frame_length_ms": 50,  // stft window length in ms.
         "frame_shift_ms": 12.5, // stft window hop-lengh in ms.
         "preemphasis": 0.98,    // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
@@ -31,7 +31,7 @@
 
     "reinit_layers": [],
 
-    "model": "Tacotron",          // one of the model in models/    
+    "model": "Tacotron2",          // one of the model in models/    
     "grad_clip": 1,                // upper limit for gradients for clipping.
     "epochs": 1000,                // total number of epochs to train.
     "lr": 0.0001,                  // Initial learning rate. If Noam decay is active, maximum learning rate.
@@ -52,16 +52,16 @@
     "separate_stopnet": true,     // Train stopnet seperately if 'stopnet==true'. It prevents stopnet loss to influence the rest of the model. It causes a better model, but it trains SLOWER.
     "tb_model_param_stats": false,     // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. 
     
-    "batch_size": 32,       // Batch size for training. Lower values than 32 might cause hard to learn attention.
+    "batch_size": 16,       // Batch size for training. Lower values than 32 might cause hard to learn attention.
     "eval_batch_size":16,   
-    "r": 5,                 // Number of frames to predict for step.
+    "r": 1,                 // Number of frames to predict for step.
     "wd": 0.000001,         // Weight decay weight.
     "checkpoint": true,     // If true, it saves checkpoints per "save_step"
     "save_step": 1000,      // Number of training steps expected to save traning stats and checkpoints.
     "print_step": 10,       // Number of steps to log traning on console.
     "batch_group_size": 0,  //Number of batches to shuffle after bucketing.
 
-    "run_eval": true,
+    "run_eval": false,
     "test_delay_epochs": 5,  //Until attention is aligned, testing only wastes computation time.
     "test_sentences_file": null,  // set a file to load sentences to be used for testing. If it is null then we use default english sentences.
     "data_path": "/home/erogol/Data/Libri-TTS/train-clean-360/",  // DATASET-RELATED: can overwritten from command argument
@@ -71,7 +71,7 @@
     "min_seq_len": 6,       // DATASET-RELATED: minimum text length to use in training
     "max_seq_len": 150,     // DATASET-RELATED: maximum text length
     "output_path": "/media/erogol/data_ssd/Models/libri_tts/",      // DATASET-RELATED: output path for all training outputs.
-    "num_loader_workers": 4,        // number of training data loader processes. Don't set it too big. 4-8 are good values.
+    "num_loader_workers": 12,        // number of training data loader processes. Don't set it too big. 4-8 are good values.
     "num_val_loader_workers": 4,    // number of evaluation data loader processes.
     "phoneme_cache_path": "mozilla_us_phonemes",  // phoneme computation is slow, therefore, it caches results in the given folder.
     "use_phonemes": true,           // use phonemes instead of raw characters. It is suggested for better pronounciation.