Update audioldm_train/config/mos_as_token/qa_mdt.yaml

audioldm_train/config/mos_as_token/qa_mdt.yaml

@@ -3,15 +3,15 @@ project: "audioldm"
 precision: "high"
 
 # TODO: change this with your project path
-base_root: "./qa-mdt"
+base_root: "./qa_mdt"
 
 # TODO: change this with your pretrained path
 # TODO: pretrained path is also needed in "base_root/offset_pretrained_checkpoints.json"
 pretrained:
- clap_music: "./qa-mdt/checkpoints/clap_music"
- flan_t5: "./qa-mdt/checkpoints/flant5"
- hifi-gan: "./qa-mdt/checkpoints/hifi-gan/checkpoints"
- roberta-base: "./qa-mdt/checkpoints/robertabase"
+ clap_music: "./qa_mdt/checkpoints/clap_music"
+ flan_t5: "./qa_mdt/checkpoints/flant5"
+ hifi-gan: "./qa_mdt/checkpoints/hifi-gan/checkpoints"
+ roberta-base: "./qa_mdt/checkpoints/robertabase"
 
 # TODO: lmdb dataset that stores pMOS of the training dataset
 # while in inference, we don't need it !!!
@@ -78,7 +78,7 @@ model:
       target: qa_mdt.audioldm_train.modules.latent_encoder.autoencoder.AutoencoderKL
       params: 
         # TODO: change it with your VAE checkpoint
-        reload_from_ckpt: "./qa-mdt/checkpoints/hifi-gan/checkpoints/vae_mel_16k_64bins.ckpt"
+        reload_from_ckpt: "./qa_mdt/checkpoints/hifi-gan/checkpoints/vae_mel_16k_64bins.ckpt"
         sampling_rate: *sampling_rate
         batchsize: 1
         monitor: val/rec_loss