bit3ca/audio-commands

README.md

@@ -0,0 +1,97 @@
+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-speech-commands-v2
+tags:
+- generated_from_trainer
+datasets:
+- speech_commands
+metrics:
+- accuracy
+model-index:
+- name: audio-commands
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: speech_commands
+      type: speech_commands
+      config: v0.03
+      split: test
+      args: v0.03
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9256316218418907
+---
+
+<!-- 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. -->
+
+# audio-commands
+
+This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on the speech_commands dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3977
+- Accuracy: 0.9256
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0581        | 1.0   | 663   | 0.4816          | 0.8975   |
+| 0.0454        | 2.0   | 1326  | 0.4184          | 0.9024   |
+| 0.0404        | 3.0   | 1989  | 0.4361          | 0.9010   |
+| 0.025         | 4.0   | 2653  | 0.4368          | 0.9016   |
+| 0.0169        | 5.0   | 3316  | 0.3692          | 0.9173   |
+| 0.0173        | 6.0   | 3979  | 0.4131          | 0.9173   |
+| 0.0096        | 7.0   | 4642  | 0.3800          | 0.9177   |
+| 0.0022        | 8.0   | 5306  | 0.3535          | 0.9264   |
+| 0.0031        | 9.0   | 5969  | 0.3241          | 0.9315   |
+| 0.0008        | 10.0  | 6632  | 0.3697          | 0.9236   |
+| 0.0002        | 11.0  | 7295  | 0.4189          | 0.9173   |
+| 0.001         | 12.0  | 7959  | 0.3206          | 0.9287   |
+| 0.0003        | 13.0  | 8622  | 0.3794          | 0.9205   |
+| 0.0003        | 14.0  | 9285  | 0.3999          | 0.9199   |
+| 0.0           | 15.0  | 9948  | 0.4002          | 0.9220   |
+| 0.0           | 16.0  | 10612 | 0.3896          | 0.9248   |
+| 0.0001        | 17.0  | 11275 | 0.3930          | 0.9248   |
+| 0.0           | 18.0  | 11938 | 0.3952          | 0.9254   |
+| 0.0           | 19.0  | 12601 | 0.3971          | 0.9254   |
+| 0.0           | 19.99 | 13260 | 0.3977          | 0.9256   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d33d1a7b3968b14d97b894607c86c57065f38015653a70e43b7d4ebfc20f0d28
+oid sha256:856c18109a609dbf00befc808f96bc162bd151f9ac9aa285c08775344f5206db
 size 341616804