End of training

README.md

@@ -0,0 +1,90 @@
+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: distilhubert-finetuned-accents
+  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: 0.39097744360902253
+---
+
+<!-- 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-accents
+
+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: 1.8429
+- Accuracy: 0.3910
+
+## 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: 0.7
+- num_epochs: 14
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.5546        | 1.0   | 67   | 2.5463          | 0.1729   |
+| 2.4756        | 2.0   | 134  | 2.4641          | 0.1654   |
+| 2.3726        | 3.0   | 201  | 2.4065          | 0.2030   |
+| 2.464         | 4.0   | 268  | 2.3753          | 0.2256   |
+| 2.2215        | 5.0   | 335  | 2.3161          | 0.2481   |
+| 2.346         | 6.0   | 402  | 2.2739          | 0.2556   |
+| 1.8318        | 7.0   | 469  | 2.0260          | 0.3383   |
+| 1.9612        | 8.0   | 536  | 1.8926          | 0.3684   |
+| 1.7699        | 9.0   | 603  | 1.8646          | 0.3835   |
+| 1.5864        | 10.0  | 670  | 2.0469          | 0.3083   |
+| 1.5774        | 11.0  | 737  | 1.8156          | 0.3609   |
+| 1.5087        | 12.0  | 804  | 1.8061          | 0.3609   |
+| 1.2649        | 13.0  | 871  | 1.8970          | 0.3383   |
+| 1.2179        | 14.0  | 938  | 1.8429          | 0.3910   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:263fe4a7386bd20056b4912ab81f669440972591b4220ac1664588d707e05a61
+oid sha256:e7dfe61f0a4ab8f1440a923928fa92d12426813615059053d668e1b6e1ba4895
 size 94774812