End of training

README.md

@@ -3,6 +3,8 @@ library_name: peft
 license: cc-by-nc-4.0
 base_model: facebook/musicgen-small
 tags:
+- text-to-audio
+- indian
 - generated_from_trainer
 model-index:
 - name: musicgen-small-ft1
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # musicgen-small-ft1
 
-This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on an unknown dataset.
+This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the DevPanda004/indian-music-and-metadata-3 dataset.
 
 ## Model description
 

trainer_state.json

@@ -1,55 +1,76 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 2.32,
+  "epoch": 1.8888888888888888,
   "eval_steps": 500,
-  "global_step": 9,
+  "global_step": 14,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.64,
-      "grad_norm": 19.88896369934082,
-      "learning_rate": 0.00015555555555555556,
-      "loss": 9.6148,
+      "epoch": 0.25396825396825395,
+      "grad_norm": 19.76939582824707,
+      "learning_rate": 0.00017142857142857143,
+      "loss": 9.5977,
       "step": 2
     },
     {
-      "epoch": 1.0,
-      "grad_norm": 3.0083649158477783,
-      "learning_rate": 0.00011111111111111112,
-      "loss": 5.1146,
+      "epoch": 0.5079365079365079,
+      "grad_norm": 23.03803062438965,
+      "learning_rate": 0.00014285714285714287,
+      "loss": 8.8963,
       "step": 4
     },
     {
-      "epoch": 1.6400000000000001,
-      "grad_norm": 17.57530975341797,
-      "learning_rate": 6.666666666666667e-05,
-      "loss": 8.3805,
+      "epoch": 0.7619047619047619,
+      "grad_norm": 19.974302291870117,
+      "learning_rate": 0.00011428571428571428,
+      "loss": 8.297,
       "step": 6
     },
     {
-      "epoch": 2.0,
-      "grad_norm": 3.7451229095458984,
-      "learning_rate": 2.2222222222222223e-05,
-      "loss": 4.5262,
+      "epoch": 1.126984126984127,
+      "grad_norm": 51.25042724609375,
+      "learning_rate": 8.571428571428571e-05,
+      "loss": 9.9734,
       "step": 8
     },
     {
-      "epoch": 2.32,
-      "step": 9,
-      "total_flos": 87485929268832.0,
-      "train_loss": 7.02129332224528,
-      "train_runtime": 224.2171,
-      "train_samples_per_second": 2.676,
-      "train_steps_per_second": 0.04
+      "epoch": 1.380952380952381,
+      "grad_norm": 21.681840896606445,
+      "learning_rate": 5.714285714285714e-05,
+      "loss": 7.6149,
+      "step": 10
+    },
+    {
+      "epoch": 1.6349206349206349,
+      "grad_norm": 17.052457809448242,
+      "learning_rate": 2.857142857142857e-05,
+      "loss": 7.5471,
+      "step": 12
+    },
+    {
+      "epoch": 1.8888888888888888,
+      "grad_norm": 11.491819381713867,
+      "learning_rate": 0.0,
+      "loss": 7.4192,
+      "step": 14
+    },
+    {
+      "epoch": 1.8888888888888888,
+      "step": 14,
+      "total_flos": 180166080636000.0,
+      "train_loss": 8.477952480316162,
+      "train_runtime": 453.3902,
+      "train_samples_per_second": 2.206,
+      "train_steps_per_second": 0.031
     }
   ],
   "logging_steps": 2,
-  "max_steps": 9,
+  "max_steps": 14,
   "num_input_tokens_seen": 0,
-  "num_train_epochs": 3,
+  "num_train_epochs": 2,
   "save_steps": 500,
   "stateful_callbacks": {
     "TrainerControl": {
@@ -63,7 +84,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 87485929268832.0,
+  "total_flos": 180166080636000.0,
   "train_batch_size": 8,
   "trial_name": null,
   "trial_params": null