End of training

README.md

@@ -2,6 +2,8 @@
 license: cc-by-nc-4.0
 library_name: peft
 tags:
+- text-to-audio
+- ylacombe/tiny-punk
 - generated_from_trainer
 base_model: facebook/musicgen-melody
 model-index:
@@ -15,7 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/229461195/huggingface/runs/pvjo940s)
 # musicgen-melody-lora-punk2
 
-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 YLACOMBE/TINY-PUNK - DEFAULT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.7288
+- Clap: -0.0369
 
 ## Model description
 

all_results.json

@@ -1,15 +1,15 @@
 {
     "epoch": 3.764705882352941,
-    "eval_clap": -0.03494531661272049,
-    "eval_loss": 4.72878885269165,
-    "eval_runtime": 96.6403,
+    "eval_clap": -0.036870189011096954,
+    "eval_loss": 4.728781700134277,
+    "eval_runtime": 94.9338,
     "eval_samples": 5,
-    "eval_samples_per_second": 0.052,
-    "eval_steps_per_second": 0.052,
+    "eval_samples_per_second": 0.053,
+    "eval_steps_per_second": 0.053,
     "total_flos": 3464493556500.0,
-    "train_loss": 8.95539665222168,
-    "train_runtime": 43.773,
+    "train_loss": 8.955368757247925,
+    "train_runtime": 43.5906,
     "train_samples": 33,
-    "train_samples_per_second": 3.016,
-    "train_steps_per_second": 0.183
+    "train_samples_per_second": 3.028,
+    "train_steps_per_second": 0.184
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 3.764705882352941,
-    "eval_clap": -0.03494531661272049,
-    "eval_loss": 4.72878885269165,
-    "eval_runtime": 96.6403,
+    "eval_clap": -0.036870189011096954,
+    "eval_loss": 4.728781700134277,
+    "eval_runtime": 94.9338,
     "eval_samples": 5,
-    "eval_samples_per_second": 0.052,
-    "eval_steps_per_second": 0.052
+    "eval_samples_per_second": 0.053,
+    "eval_steps_per_second": 0.053
 }

train_results.json

@@ -1,9 +1,9 @@
 {
     "epoch": 3.764705882352941,
     "total_flos": 3464493556500.0,
-    "train_loss": 8.95539665222168,
-    "train_runtime": 43.773,
+    "train_loss": 8.955368757247925,
+    "train_runtime": 43.5906,
     "train_samples": 33,
-    "train_samples_per_second": 3.016,
-    "train_steps_per_second": 0.183
+    "train_samples_per_second": 3.028,
+    "train_steps_per_second": 0.184
 }

trainer_state.json

@@ -10,68 +10,68 @@
   "log_history": [
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       "epoch": 0.47058823529411764,
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+      "grad_norm": 1.1788331270217896,
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       "loss": 9.5575,
       "step": 1
     },
     {
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+      "grad_norm": 1.1702982187271118,
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+      "grad_norm": 1.1544806957244873,
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     {
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+      "grad_norm": 1.318764090538025,
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       "step": 4
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     {
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+      "grad_norm": 1.6400805711746216,
       "learning_rate": 7.500000000000001e-05,
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       "step": 5
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+      "grad_norm": 1.7725613117218018,
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+      "loss": 8.6992,
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     {
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+      "grad_norm": 2.1556906700134277,
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     {
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+      "grad_norm": 2.2284181118011475,
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-      "train_loss": 8.95539665222168,
-      "train_runtime": 43.773,
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+      "train_loss": 8.955368757247925,
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   "logging_steps": 1.0,