End of training

README.md

@@ -0,0 +1,85 @@
+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: ast-finetuned-audioset-10-10-0.4593-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: 0.89
+---
+
+<!-- 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. -->
+
+# ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
+
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6857
+- Accuracy: 0.89
+
+## 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: 2
+- eval_batch_size: 2
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8586        | 1.0   | 450  | 1.3795          | 0.55     |
+| 0.7835        | 2.0   | 900  | 1.0814          | 0.76     |
+| 0.1489        | 3.0   | 1350 | 1.0447          | 0.81     |
+| 0.2136        | 4.0   | 1800 | 0.9784          | 0.82     |
+| 0.0001        | 5.0   | 2250 | 0.7678          | 0.86     |
+| 0.0           | 6.0   | 2700 | 0.5670          | 0.92     |
+| 1.2125        | 7.0   | 3150 | 0.8058          | 0.85     |
+| 0.0           | 8.0   | 3600 | 0.7256          | 0.87     |
+| 0.0           | 9.0   | 4050 | 0.6878          | 0.89     |
+| 0.0           | 10.0  | 4500 | 0.6857          | 0.89     |
+
+
+### Framework versions
+
+- Transformers 4.33.0.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:bbbe5980a9b77685fce10f025a84dd107b9794c19b8ee930a16b6531defd0a68
+oid sha256:a1b1061b891a711fba9bc56ca171674d3a2b64843e86553828f4f878717d33b9
 size 344860025