End of training

README.md

@@ -3,6 +3,8 @@ base_model: facebook/musicgen-small
 library_name: peft
 license: cc-by-nc-4.0
 tags:
+- text-to-audio
+- ogbanugot/musicgen
 - generated_from_trainer
 model-index:
 - name: musicgen-small-lora-afrobeats
@@ -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"/>](None)
 # musicgen-small-lora-afrobeats
 
-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 OGBANUGOT/MUSICGEN - DEFAULT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6942
+- Clap: 0.1203
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 4.0,
+    "eval_clap": 0.12032415717840195,
+    "eval_loss": 2.694244861602783,
+    "eval_runtime": 35.225,
+    "eval_samples": 2,
+    "eval_samples_per_second": 0.057,
+    "eval_steps_per_second": 0.057,
+    "total_flos": 652677122304.0,
+    "train_loss": 4.660510063171387,
+    "train_runtime": 26.9263,
+    "train_samples": 8,
+    "train_samples_per_second": 1.188,
+    "train_steps_per_second": 0.149
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "eval_clap": 0.12032415717840195,
+    "eval_loss": 2.694244861602783,
+    "eval_runtime": 35.225,
+    "eval_samples": 2,
+    "eval_samples_per_second": 0.057,
+    "eval_steps_per_second": 0.057
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "total_flos": 652677122304.0,
+    "train_loss": 4.660510063171387,
+    "train_runtime": 26.9263,
+    "train_samples": 8,
+    "train_samples_per_second": 1.188,
+    "train_steps_per_second": 0.149
+}

trainer_state.json

@@ -0,0 +1,70 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 25,
+  "global_step": 4,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 2.864440679550171,
+      "learning_rate": 0.00015000000000000001,
+      "loss": 4.9451,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 2.771547317504883,
+      "learning_rate": 0.0001,
+      "loss": 4.7639,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 2.7337377071380615,
+      "learning_rate": 5e-05,
+      "loss": 4.5808,
+      "step": 3
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 2.805464267730713,
+      "learning_rate": 0.0,
+      "loss": 4.3522,
+      "step": 4
+    },
+    {
+      "epoch": 4.0,
+      "step": 4,
+      "total_flos": 652677122304.0,
+      "train_loss": 4.660510063171387,
+      "train_runtime": 26.9263,
+      "train_samples_per_second": 1.188,
+      "train_steps_per_second": 0.149
+    }
+  ],
+  "logging_steps": 1.0,
+  "max_steps": 4,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "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": 652677122304.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}