End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: anton-l/wav2vec2-base-ft-keyword-spotting
+tags:
+- generated_from_trainer
+datasets:
+- minds14
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-minds14-audio-classification-all
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: minds14
+      type: minds14
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.09730722154222766
+---
+
+<!-- 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. -->
+
+# wav2vec2-minds14-audio-classification-all
+
+This model is a fine-tuned version of [anton-l/wav2vec2-base-ft-keyword-spotting](https://huggingface.co/anton-l/wav2vec2-base-ft-keyword-spotting) on the minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6367
+- Accuracy: 0.0973
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.6374        | 0.9951 | 51   | 2.6375          | 0.0894   |
+| 2.6347        | 1.9902 | 102  | 2.6334          | 0.0900   |
+| 2.6352        | 2.9854 | 153  | 2.6323          | 0.0930   |
+| 2.6282        | 4.0    | 205  | 2.6280          | 0.0924   |
+| 2.6224        | 4.9951 | 256  | 2.6398          | 0.0894   |
+| 2.6122        | 5.9902 | 307  | 2.6306          | 0.0912   |
+| 2.6225        | 6.9854 | 358  | 2.6325          | 0.0906   |
+| 2.6196        | 8.0    | 410  | 2.6358          | 0.0961   |
+| 2.6154        | 8.9951 | 461  | 2.6357          | 0.0924   |
+| 2.6028        | 9.9512 | 510  | 2.6367          | 0.0973   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

runs/Nov08_11-10-55_58529665e23d/events.out.tfevents.1731064260.58529665e23d.374.0

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