End of training

README.md

@@ -1,5 +1,8 @@
 ---
+base_model: ylacombe/musicgen-melody
 tags:
+- text-to-audio
+- patrickvonplaten/bella_ciao
 - generated_from_trainer
 datasets:
 - audiofolder
@@ -13,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # musicgen-melody-bella-ciao
 
-This model is a fine-tuned version of [](https://huggingface.co/) on the audiofolder dataset.
+This model is a fine-tuned version of [ylacombe/musicgen-melody](https://huggingface.co/ylacombe/musicgen-melody) on the PATRICKVONPLATEN/BELLA_CIAO - DEFAULT dataset.
 
 ## Model description
 

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "train_loss": 8.267948303222656,
-    "train_runtime": 72.315,
+    "epoch": 20.0,
+    "train_loss": 7.698295211791992,
+    "train_runtime": 141.1997,
     "train_samples": 10,
-    "train_samples_per_second": 1.383,
-    "train_steps_per_second": 1.383
+    "train_samples_per_second": 1.416,
+    "train_steps_per_second": 1.416
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "train_loss": 8.267948303222656,
-    "train_runtime": 72.315,
+    "epoch": 20.0,
+    "train_loss": 7.698295211791992,
+    "train_runtime": 141.1997,
     "train_samples": 10,
-    "train_samples_per_second": 1.383,
-    "train_steps_per_second": 1.383
+    "train_samples_per_second": 1.416,
+    "train_steps_per_second": 1.416
 }

trainer_state.json

@@ -1,51 +1,75 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 10.0,
+  "epoch": 20.0,
   "eval_steps": 1000,
-  "global_step": 100,
+  "global_step": 200,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
       "epoch": 2.5,
-      "learning_rate": 3.7999999999999996e-07,
-      "loss": 9.1576,
+      "learning_rate": 4.3999999999999997e-07,
+      "loss": 9.1366,
       "step": 25
     },
     {
       "epoch": 5.0,
-      "learning_rate": 2.55e-07,
-      "loss": 8.3016,
+      "learning_rate": 3.775e-07,
+      "loss": 8.1903,
       "step": 50
     },
     {
       "epoch": 7.5,
-      "learning_rate": 1.3e-07,
-      "loss": 7.9075,
+      "learning_rate": 3.15e-07,
+      "loss": 7.7121,
       "step": 75
     },
     {
       "epoch": 10.0,
-      "learning_rate": 5e-09,
-      "loss": 7.7051,
+      "learning_rate": 2.5249999999999996e-07,
+      "loss": 7.4457,
       "step": 100
     },
     {
-      "epoch": 10.0,
-      "step": 100,
+      "epoch": 12.5,
+      "learning_rate": 1.9249999999999998e-07,
+      "loss": 7.3392,
+      "step": 125
+    },
+    {
+      "epoch": 15.0,
+      "learning_rate": 1.3e-07,
+      "loss": 7.2883,
+      "step": 150
+    },
+    {
+      "epoch": 17.5,
+      "learning_rate": 6.75e-08,
+      "loss": 7.2359,
+      "step": 175
+    },
+    {
+      "epoch": 20.0,
+      "learning_rate": 5e-09,
+      "loss": 7.2382,
+      "step": 200
+    },
+    {
+      "epoch": 20.0,
+      "step": 200,
       "total_flos": 0.0,
-      "train_loss": 8.267948303222656,
-      "train_runtime": 72.315,
-      "train_samples_per_second": 1.383,
-      "train_steps_per_second": 1.383
+      "train_loss": 7.698295211791992,
+      "train_runtime": 141.1997,
+      "train_samples_per_second": 1.416,
+      "train_steps_per_second": 1.416
     }
   ],
   "logging_steps": 25,
-  "max_steps": 100,
+  "max_steps": 200,
   "num_input_tokens_seen": 0,
-  "num_train_epochs": 10,
+  "num_train_epochs": 20,
   "save_steps": 500,
   "total_flos": 0.0,
   "train_batch_size": 1,