End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-ks-open-close
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9724984249595968
+---
+
+<!-- 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. -->
+
+# distilhubert-finetuned-ks-open-close
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0835
+- Accuracy: 0.9725
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1629        | 1.0   | 285  | 0.1889          | 0.9329   |
+| 0.1397        | 2.0   | 570  | 0.1106          | 0.9638   |
+| 0.1085        | 3.0   | 855  | 0.0959          | 0.9678   |
+| 0.0882        | 4.0   | 1141 | 0.0874          | 0.9704   |
+| 0.0892        | 5.0   | 1425 | 0.0835          | 0.9725   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:209e01eab9bceb400c596eee71d2d7ec29bd00425ca7b91d52348356c20ae20c
+oid sha256:2e42d103d0f6bb2f7047521877fdc5244d1f1f4f536195ba3a4cd462d53d222a
 size 94764524

runs/Feb09_10-46-51_5d3e6ea4bd25/events.out.tfevents.1707475640.5d3e6ea4bd25.181.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd4678babb9e9a16bab9592eb1ee0e7da9c15ed88ccc52564c95ff6bb8b41ae0
-size 10044
+oid sha256:cbf7a77a2c1f387385f0ad7b6cbdbbe4ee04c3e8b03eb3baf4e8d5dbe77bb807
+size 29588