End of training

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+base_model: sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-gtzan-5-epochs-finetuned-gtzan-QUIZ
+  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: 0.8
+---
+
+<!-- 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-5-epochs-finetuned-gtzan-QUIZ
+
+This model is a fine-tuned version of [sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs](https://huggingface.co/sanchit-gandhi/distilhubert-finetuned-gtzan-5-epochs) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6688
+- Accuracy: 0.8
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7322        | 1.0   | 57   | 0.7652          | 0.79     |
+| 0.5307        | 2.0   | 114  | 0.6521          | 0.83     |
+| 0.4953        | 3.0   | 171  | 0.6688          | 0.8      |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:488b7a5eeef6fb16b03bae10f60d32f129745be9d0afd13adf947b9d400c2ed5
+oid sha256:76d1b40636be9d6e744081f2000cc3b8f131c208cbc2f601e50754308b447678
 size 94771728

runs/Jul06_22-40-59_9b20cc25a8e2/events.out.tfevents.1720305670.9b20cc25a8e2.1141.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbe31acc8eaa0d778efb5297983cc6f82d8ba7e3b366151b6816748322285ef7
-size 13932
+oid sha256:448bfd82105bde887567ad9ca93e675108ffbec6c351030bd8b84098ea51dc54
+size 14609