End of training

README.md

@@ -0,0 +1,91 @@
+---
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: hubert-base-ls960-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: 0.82
+---
+
+<!-- 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. -->
+
+# hubert-base-ls960-finetuned-gtzan
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9359
+- Accuracy: 0.82
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2494        | 1.0   | 113  | 2.1568          | 0.36     |
+| 1.7795        | 2.0   | 226  | 1.7904          | 0.38     |
+| 1.5798        | 3.0   | 339  | 1.6144          | 0.5      |
+| 1.6354        | 4.0   | 452  | 1.2584          | 0.66     |
+| 0.9675        | 5.0   | 565  | 1.1453          | 0.64     |
+| 0.995         | 6.0   | 678  | 0.9740          | 0.67     |
+| 1.2052        | 7.0   | 791  | 1.0552          | 0.68     |
+| 0.7028        | 8.0   | 904  | 0.8980          | 0.74     |
+| 0.7472        | 9.0   | 1017 | 0.9431          | 0.72     |
+| 0.3181        | 10.0  | 1130 | 0.8750          | 0.75     |
+| 0.3948        | 11.0  | 1243 | 1.0047          | 0.73     |
+| 0.3507        | 12.0  | 1356 | 0.8054          | 0.81     |
+| 0.1785        | 13.0  | 1469 | 0.7866          | 0.84     |
+| 0.2453        | 14.0  | 1582 | 0.8960          | 0.82     |
+| 0.2832        | 15.0  | 1695 | 1.0770          | 0.81     |
+| 0.2132        | 16.0  | 1808 | 0.9359          | 0.82     |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:114d3bb6884f57edd838c4022235d76dd6de7365faeea0c3bb3a575a0828ff15
+oid sha256:fa4577bdae503e90582d577be81399ff5afe1335043f7d44cf6e474b1c4ac7d1
 size 378358758