End of training

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - minds14
+metrics:
+- accuracy
 model-index:
 - name: my_awesome_mind_model
-  results: []
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: minds14
+      type: minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.07964601769911504
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_mind_model
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6381
+- Accuracy: 0.0796
 
 ## Model description
 
@@ -46,6 +64,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.5
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.8   | 3    | 2.6334          | 0.0973   |
+| No log        | 1.8   | 6    | 2.6381          | 0.0796   |
+
+
 ### Framework versions
 
 - Transformers 4.49.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:814d598d3d002d2e97fbbe72936b8e3d8a98c9884843bba3be74c95aee1cf3c4
 size 378314704