End of training

README.md

@@ -3,6 +3,8 @@ base_model: facebook/musicgen-melody
 library_name: peft
 license: cc-by-nc-4.0
 tags:
+- text-to-audio
+- DevPanda004/demucsmetadata
 - generated_from_trainer
 model-index:
 - name: musicgen-melody-indian
@@ -14,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # musicgen-melody-indian
 
-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 DEVPANDA004/DEMUCSMETADATA - DEFAULT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9605
+- Clap: 0.2320
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 1.6666666666666665,
+    "eval_clap": 0.2319909930229187,
+    "eval_loss": 2.960526466369629,
+    "eval_runtime": 190.779,
+    "eval_samples": 4,
+    "eval_samples_per_second": 0.021,
+    "eval_steps_per_second": 0.021,
+    "total_flos": 16296977689776.0,
+    "train_loss": 67.02359962463379,
+    "train_runtime": 75.0366,
+    "train_samples": 42,
+    "train_samples_per_second": 1.119,
+    "train_steps_per_second": 0.053
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.6666666666666665,
+    "eval_clap": 0.2319909930229187,
+    "eval_loss": 2.960526466369629,
+    "eval_runtime": 190.779,
+    "eval_samples": 4,
+    "eval_samples_per_second": 0.021,
+    "eval_steps_per_second": 0.021
+}

runs/Oct24_19-52-40_945154a0a094/events.out.tfevents.1729800234.945154a0a094.18623.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b8369124d1fc3b61786a48ff2580b816f480f47b3e38510fec000ddb43071c1
+size 401

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.6666666666666665,
+    "total_flos": 16296977689776.0,
+    "train_loss": 67.02359962463379,
+    "train_runtime": 75.0366,
+    "train_samples": 42,
+    "train_samples_per_second": 1.119,
+    "train_steps_per_second": 0.053
+}

trainer_state.json

@@ -0,0 +1,70 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.6666666666666665,
+  "eval_steps": 25,
+  "global_step": 4,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "loss": 72.0964,
+      "step": 1
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+      "grad_norm": 35.755401611328125,
+      "learning_rate": 0.0001,
+      "loss": 66.6014,
+      "step": 2
+    },
+    {
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+      "grad_norm": 21.73655128479004,
+      "learning_rate": 5e-05,
+      "loss": 68.7338,
+      "step": 3
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+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 38.31291198730469,
+      "learning_rate": 0.0,
+      "loss": 60.6627,
+      "step": 4
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+      "total_flos": 16296977689776.0,
+      "train_loss": 67.02359962463379,
+      "train_runtime": 75.0366,
+      "train_samples_per_second": 1.119,
+      "train_steps_per_second": 0.053
+    }
+  ],
+  "logging_steps": 1.0,
+  "max_steps": 4,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 16296977689776.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}