End of training

README.md

@@ -0,0 +1,87 @@
+---
+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
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.77
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/scott-poynts-nil/huggingface/runs/mvcwa6jm)
+# 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: 0.7624
+- Accuracy: 0.77
+
+## 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: 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: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.169         | 1.0   | 57   | 2.0533          | 0.51     |
+| 1.6117        | 2.0   | 114  | 1.5264          | 0.57     |
+| 1.3112        | 3.0   | 171  | 1.2764          | 0.64     |
+| 0.9584        | 4.0   | 228  | 1.0663          | 0.72     |
+| 0.8809        | 5.0   | 285  | 0.9548          | 0.72     |
+| 0.7652        | 6.0   | 342  | 0.9119          | 0.77     |
+| 0.6498        | 7.0   | 399  | 0.8271          | 0.77     |
+| 0.5007        | 8.0   | 456  | 0.7962          | 0.76     |
+| 0.4747        | 9.0   | 513  | 0.7583          | 0.77     |
+| 0.4418        | 10.0  | 570  | 0.7624          | 0.77     |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba7634d13a0f2f41220ed3df6c9c0cf72fecad8b06589c468585bdbd1f0ae6dd
+oid sha256:695e08b38432d5590c3e15a8841a2ffde52cb6c3fd9f19e51bb71d628877521c
 size 94771728

runs/Aug19_10-45-08_adc750476839/events.out.tfevents.1724064310.adc750476839.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a94b4d484f8f1c85b15364b96d1740d04ab70aa484b8991d9acfe50d3c448089
-size 32911
+oid sha256:65269c19433a12798e20c1a05983d5fccdf0cdae804e31ed373c119080a3993b
+size 33588