End of training

README.md

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+---
+license: bsd-3-clause
+base_model: MIT/ast-finetuned-audioset-10-10-0.4593
+tags:
+- generated_from_trainer
+datasets:
+- speech_commands
+metrics:
+- accuracy
+model-index:
+- name: AST_speechcommandsV2_final
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: speech_commands
+      type: speech_commands
+      config: v0.02
+      split: test
+      args: v0.02
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8889570552147239
+---
+
+<!-- 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_speechcommandsV2_final
+
+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 speech_commands dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4825
+- Accuracy: 0.8890
+
+## 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: 72
+- eval_batch_size: 72
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 288
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3557        | 1.0   | 294  | 0.7017          | 0.8354   |
+| 0.1948        | 2.0   | 589  | 0.6838          | 0.8397   |
+| 0.1219        | 3.0   | 884  | 0.5752          | 0.8699   |
+| 0.0704        | 4.0   | 1179 | 0.5554          | 0.8675   |
+| 0.0404        | 5.0   | 1473 | 0.5437          | 0.8663   |
+| 0.0136        | 6.0   | 1768 | 0.5247          | 0.8759   |
+| 0.0072        | 7.0   | 2063 | 0.5235          | 0.8759   |
+| 0.0026        | 8.0   | 2358 | 0.5035          | 0.8859   |
+| 0.0007        | 9.0   | 2652 | 0.4800          | 0.8896   |
+| 0.0005        | 9.97  | 2940 | 0.4825          | 0.8890   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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