End of training

README.md

@@ -0,0 +1,95 @@
+---
+license: apache-2.0
+base_model: bookbot/distil-ast-audioset
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distil-ast-audioset-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: train
+      split: train
+      args: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9
+---
+
+<!-- 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. -->
+
+# distil-ast-audioset-finetuned-gtzan
+
+This model is a fine-tuned version of [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4865
+- Accuracy: 0.9
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0362        | 1.0   | 113  | 0.8029          | 0.75     |
+| 0.7068        | 2.0   | 226  | 0.4494          | 0.86     |
+| 0.3458        | 3.0   | 339  | 0.5926          | 0.78     |
+| 0.1416        | 4.0   | 452  | 0.5162          | 0.89     |
+| 0.1134        | 5.0   | 565  | 0.6216          | 0.84     |
+| 0.003         | 6.0   | 678  | 0.5221          | 0.9      |
+| 0.3177        | 7.0   | 791  | 0.3742          | 0.92     |
+| 0.0002        | 8.0   | 904  | 0.5134          | 0.91     |
+| 0.0022        | 9.0   | 1017 | 0.6814          | 0.86     |
+| 0.0002        | 10.0  | 1130 | 0.5605          | 0.9      |
+| 0.0001        | 11.0  | 1243 | 0.4976          | 0.9      |
+| 0.0105        | 12.0  | 1356 | 0.5841          | 0.89     |
+| 0.0001        | 13.0  | 1469 | 0.4664          | 0.89     |
+| 0.0           | 14.0  | 1582 | 0.5755          | 0.89     |
+| 0.0           | 15.0  | 1695 | 0.4913          | 0.9      |
+| 0.0001        | 16.0  | 1808 | 0.4877          | 0.9      |
+| 0.0           | 17.0  | 1921 | 0.4855          | 0.9      |
+| 0.0           | 18.0  | 2034 | 0.4859          | 0.9      |
+| 0.0           | 19.0  | 2147 | 0.4862          | 0.9      |
+| 0.0           | 20.0  | 2260 | 0.4865          | 0.9      |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2812a81a81d7cb595b03e1ea63814322ef8eebdf9c1f397272d765d718aa504e
+oid sha256:3bb5dd91ed879b2bb426c208c70f5e96e4d3f2a8ddc2b4292ca5c032f0fae169
 size 174715705