diff --git a/.compute b/.compute
index 358722b6..fe1c69c7 100644
--- a/.compute
+++ b/.compute
@@ -5,10 +5,10 @@ yes | apt-get install espeak
 yes | apt-get install tmux
 yes | apt-get install zsh
 pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp36-cp36m-linux_x86_64.whl
-wget https://www.dropbox.com/s/rowimjoosnmdgj4/best_model_4702.pth.tar?dl=0 -O best_model_4702.pth.tar
+# wget https://www.dropbox.com/s/m8waow6b3ydpf6h/MozillaDataset.tar.gz?dl=0 -O /data/rw/home/mozilla.tar
 wget https://www.dropbox.com/s/wqn5v3wkktw9lmo/install.sh?dl=0 -O install.sh
 sudo sh install.sh
 python3 setup.py develop
-# python3 distribute.py --config_path config_cluster.json  --data_path ${USER_DIR}/Mozilla/  --restore_path ${USER_DIR}/best_model_4700.pth.tar
+python3 distribute.py --config_path config_cluster.json  --data_path ${USER_DIR}/MozillaAll/Mozilla/  --restore_path ${USER_DIR}/checkpoint_123000_4761.pth.tar
 # python3 distribute.py --config_path config_cluster.json  --data_path ${SHARED_DIR}/data/mozilla/Judy/
-while true; do sleep 1000000; done
+# while true; do sleep 1000000; done
diff --git a/config_cluster.json b/config_cluster.json
index 48167649..9b68e40c 100644
--- a/config_cluster.json
+++ b/config_cluster.json
@@ -1,6 +1,6 @@
 {
-    "run_name": "mozilla-fattn-agent-masking",
-    "run_description": "finetune 4706 with prenet BN. Loss masking, fattn.",
+    "run_name": "mozilla-fattn-stopnet",
+    "run_description": "Finetune 4761 with BN",
 
     "audio":{
         // Audio processing parameters
@@ -40,14 +40,14 @@
     "windowing": false,      // Enables attention windowing. Used only in eval mode.
     "memory_size": 5,       //  ONLY TACOTRON - memory queue size used to queue network predictions to feed autoregressive connection. Useful if r < 5. 
     "attention_norm": "softmax",   // softmax or sigmoid. Suggested to use softmax for Tacotron2 and sigmoid for Tacotron.
-    "prenet_type": "original",    // ONLY TACOTRON2 - "original" or "bn".
+    "prenet_type": "bn",    // ONLY TACOTRON2 - "original" or "bn".
     "use_forward_attn": true,    // ONLY TACOTRON2 - if it uses forward attention. In general, it aligns faster.
     "transition_agent": false,    // ONLY TACOTRON2 - enable/disable transition agent of forward attention.
-    "location_attn": true,      // ONLY TACOTRON2 - enable_disable location sensitive attention. It is enabled for TACOTRON by default.
-    "loss_masking": true,       // enable / disable loss masking against the sequence padding.
+    "location_attn": false,      // ONLY TACOTRON2 - enable_disable location sensitive attention. It is enabled for TACOTRON by default.
+    "loss_masking": false,       // enable / disable loss masking against the sequence padding.
     "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
 
-    "batch_size": 24,       // Batch size for training. Lower values than 32 might cause hard to learn attention.
+    "batch_size": 32,       // Batch size for training. Lower values than 32 might cause hard to learn attention.
     "eval_batch_size":16,   
     "r": 1,                 // Number of frames to predict for step.
     "wd": 0.000001,         // Weight decay weight.
@@ -60,12 +60,12 @@
     "run_eval": true,
     "test_delay_epochs": 1,  //Until attention is aligned, testing only wastes computation time.
     "data_path": "/media/erogol/data_ssd/Data/LJSpeech-1.1",  // DATASET-RELATED: can overwritten from command argument
-    "meta_file_train": "metadata.txt",      // DATASET-RELATED: metafile for training dataloader.
+    "meta_file_train": "metadata_train.txt",      // DATASET-RELATED: metafile for training dataloader.
     "meta_file_val": "metadata_val.txt",    // DATASET-RELATED: metafile for evaluation dataloader.
     "dataset": "mozilla",      // DATASET-RELATED: one of TTS.dataset.preprocessors depending on your target dataset. Use "tts_cache" for pre-computed dataset by extract_features.py
     "min_seq_len": 0,       // DATASET-RELATED: minimum text length to use in training
     "max_seq_len": 150,     // DATASET-RELATED: maximum text length
-    "output_path": "../keep/",      // DATASET-RELATED: output path for all training outputs.
+    "output_path": "/media/erogol/data_ssd/Data/models/mozilla_models/",      // 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_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.