End of training

README.md

@@ -0,0 +1,86 @@
+---
+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: 0.92
+---
+
+<!-- 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: 0.4835
+- Accuracy: 0.92
+
+## 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.2788        | 1.0   | 225  | 0.4533          | 0.88     |
+| 0.3838        | 2.0   | 450  | 1.0800          | 0.75     |
+| 0.3945        | 3.0   | 675  | 0.9446          | 0.76     |
+| 0.0219        | 4.0   | 900  | 0.6243          | 0.89     |
+| 0.0005        | 5.0   | 1125 | 0.4831          | 0.91     |
+| 0.0           | 6.0   | 1350 | 0.6262          | 0.88     |
+| 0.0001        | 7.0   | 1575 | 0.4827          | 0.93     |
+| 0.0           | 8.0   | 1800 | 0.4794          | 0.93     |
+| 0.0           | 9.0   | 2025 | 0.4814          | 0.92     |
+| 0.0           | 10.0  | 2250 | 0.4835          | 0.92     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54e3ed57dcdbc18a3106aa127f1efe9941e9dc1b314089a3227a015d5d5c2963
+oid sha256:d953f6918438142f720acd903a5240bef56e59c16b81e8253098fb49c71d3260
 size 346404948

runs/May03_04-21-58_07e0d8020a89/events.out.tfevents.1714710127.07e0d8020a89.4612.5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0af027a79a7a862bbed417e5f70c4474fbeb94a735cb970612e9b3e2c5e98d0b
-size 119267
+oid sha256:c9be275bd1f3366feb7c1a3ea269430068171eb90ab55e8c2f31a49d775915a3
+size 129439