End of training

README.md

@@ -2,6 +2,8 @@
 license: cc-by-nc-4.0
 library_name: peft
 tags:
+- text-to-audio
+- afterschool-large
 - generated_from_trainer
 base_model: facebook/musicgen-melody
 model-index:
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # musicgen-melody-lora-pop-colab-epoch10
 
-This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on an unknown dataset.
+This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the foureyednymph/afterschool-large dataset.
 
 ## Model description
 

trainer_state.json

@@ -1,69 +1,62 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 3.84,
+  "epoch": 6.153846153846154,
   "eval_steps": 500,
-  "global_step": 12,
+  "global_step": 10,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 0.64,
-      "grad_norm": 1.070637822151184,
-      "learning_rate": 0.0001666666666666667,
-      "loss": 9.4693,
+      "epoch": 1.2307692307692308,
+      "grad_norm": 1.047078013420105,
+      "learning_rate": 0.00016,
+      "loss": 9.5015,
       "step": 2
     },
     {
-      "epoch": 1.28,
-      "grad_norm": 1.7139862775802612,
-      "learning_rate": 0.00013333333333333334,
-      "loss": 9.1776,
+      "epoch": 2.4615384615384617,
+      "grad_norm": 1.4213268756866455,
+      "learning_rate": 0.00012,
+      "loss": 9.1618,
       "step": 4
     },
     {
-      "epoch": 1.92,
-      "grad_norm": 1.9775595664978027,
-      "learning_rate": 0.0001,
-      "loss": 8.7634,
+      "epoch": 3.6923076923076925,
+      "grad_norm": 1.623157024383545,
+      "learning_rate": 8e-05,
+      "loss": 8.7262,
       "step": 6
     },
     {
-      "epoch": 2.56,
-      "grad_norm": 1.862234115600586,
-      "learning_rate": 6.666666666666667e-05,
-      "loss": 8.4361,
+      "epoch": 4.923076923076923,
+      "grad_norm": 1.7331207990646362,
+      "learning_rate": 4e-05,
+      "loss": 8.3712,
       "step": 8
     },
     {
-      "epoch": 3.2,
-      "grad_norm": 2.3462889194488525,
-      "learning_rate": 3.3333333333333335e-05,
-      "loss": 8.1063,
-      "step": 10
-    },
-    {
-      "epoch": 3.84,
-      "grad_norm": 1.7291364669799805,
+      "epoch": 6.153846153846154,
+      "grad_norm": 2.034743547439575,
       "learning_rate": 0.0,
-      "loss": 7.9639,
-      "step": 12
+      "loss": 8.0607,
+      "step": 10
     },
     {
-      "epoch": 3.84,
-      "step": 12,
-      "total_flos": 50821810811484.0,
-      "train_loss": 8.652764320373535,
-      "train_runtime": 311.9963,
-      "train_samples_per_second": 0.628,
-      "train_steps_per_second": 0.038
+      "epoch": 6.153846153846154,
+      "step": 10,
+      "total_flos": 86603100263016.0,
+      "train_loss": 8.76425724029541,
+      "train_runtime": 482.9591,
+      "train_samples_per_second": 1.015,
+      "train_steps_per_second": 0.021
     }
   ],
   "logging_steps": 2,
-  "max_steps": 12,
+  "max_steps": 10,
   "num_input_tokens_seen": 0,
-  "num_train_epochs": 4,
+  "num_train_epochs": 10,
   "save_steps": 500,
   "stateful_callbacks": {
     "TrainerControl": {
@@ -77,8 +70,8 @@
       "attributes": {}
     }
   },
-  "total_flos": 50821810811484.0,
-  "train_batch_size": 2,
+  "total_flos": 86603100263016.0,
+  "train_batch_size": 4,
   "trial_name": null,
   "trial_params": null
 }