End of training

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.88
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
+
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4346
+- Accuracy: 0.88
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9243        | 1.0   | 225  | 0.7503          | 0.77     |
+| 0.4195        | 2.0   | 450  | 0.7262          | 0.81     |
+| 0.9655        | 3.0   | 675  | 0.6213          | 0.82     |
+| 0.0003        | 4.0   | 900  | 0.5335          | 0.89     |
+| 0.0001        | 5.0   | 1125 | 0.4133          | 0.89     |
+| 0.0002        | 6.0   | 1350 | 0.4346          | 0.88     |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3c70d0316beb6c479ccd8c2e586078be4a44dce66175f6ab77844803341fb52
+oid sha256:6e9f1342dfd05da2a0f149de895bf5e49d56f06398d562b3c53aa4da675ab8a5
 size 344814656

runs/Jan17_14-10-24_1bdd4c11cb03/events.out.tfevents.1737123027.1bdd4c11cb03.772.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3cf2757659f57fae244707a7964bb74a0ace3a306792e3cc5d08d475b40d5601
-size 64021
+oid sha256:ff93e8474bd5baeff23fa348516339118cfbcfe5d0c55e213abfb9656cf95e6f
+size 64698