End of training

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.83
+---
+
+<!-- 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. -->
+
+# distilhubert-finetuned-gtzan
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6245
+- Accuracy: 0.83
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.921         | 1.0   | 113  | 1.8859          | 0.4      |
+| 1.3186        | 2.0   | 226  | 1.3014          | 0.62     |
+| 1.1287        | 3.0   | 339  | 0.9965          | 0.78     |
+| 0.7009        | 4.0   | 452  | 0.8597          | 0.76     |
+| 0.4952        | 5.0   | 565  | 0.7027          | 0.82     |
+| 0.3691        | 6.0   | 678  | 0.6891          | 0.8      |
+| 0.2488        | 7.0   | 791  | 0.6131          | 0.82     |
+| 0.153         | 8.0   | 904  | 0.5995          | 0.83     |
+| 0.1759        | 9.0   | 1017 | 0.6182          | 0.84     |
+| 0.1026        | 10.0  | 1130 | 0.6245          | 0.83     |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f479cd936d6e350fc497f5f63d4328596794ce81482bafa68af399c6acae501c
+oid sha256:cb0395636eb116bd341dd6cb5afea6fe87805130523be898e75b965d6ed3b825
 size 94771728

runs/Jan26_07-31-51_8878ca85d801/events.out.tfevents.1737876715.8878ca85d801.2925.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9634c44403ff6f6cecebd3265d6accd24f58d471a9258bbc9c6472631ff61ab
-size 56764
+oid sha256:6d9f47080a477202fc0147247f97344e6cb0ca992ce5f0b8838382f4c34413d3
+size 57441