End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: wav2vec2-classifier
   results: []
@@ -14,6 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-classifier
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2125
+- Accuracy: 0.2639
+- Precision: 0.1476
+- Recall: 0.2639
+- F1: 0.1708
+- Binary: 0.4828
 
 ## Model description
 
@@ -43,6 +55,23 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Binary |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| No log        | 0.86  | 50   | 4.2737          | 0.0461   | 0.0117    | 0.0461 | 0.0131 | 0.3133 |
+| 4.3817        | 1.72  | 100  | 3.9867          | 0.0583   | 0.0103    | 0.0583 | 0.0148 | 0.3340 |
+| 4.1014        | 2.59  | 150  | 3.8162          | 0.0655   | 0.0187    | 0.0655 | 0.0202 | 0.3400 |
+| 3.8922        | 3.45  | 200  | 3.6555          | 0.0995   | 0.0307    | 0.0995 | 0.0381 | 0.3684 |
+| 3.7329        | 4.31  | 250  | 3.5458          | 0.1214   | 0.0451    | 0.1214 | 0.0544 | 0.3813 |
+| 3.6106        | 5.17  | 300  | 3.4544          | 0.1602   | 0.0815    | 0.1602 | 0.0863 | 0.4117 |
+| 3.5162        | 6.03  | 350  | 3.3758          | 0.1869   | 0.1053    | 0.1869 | 0.1168 | 0.4279 |
+| 3.5162        | 6.9   | 400  | 3.3107          | 0.2063   | 0.1330    | 0.2063 | 0.1384 | 0.4432 |
+| 3.4324        | 7.76  | 450  | 3.2568          | 0.2233   | 0.1298    | 0.2233 | 0.1451 | 0.4534 |
+| 3.3733        | 8.62  | 500  | 3.2182          | 0.2330   | 0.1555    | 0.2330 | 0.1587 | 0.4619 |
+| 3.3259        | 9.48  | 550  | 3.2001          | 0.2427   | 0.1558    | 0.2427 | 0.1647 | 0.4670 |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

runs/Jun13_07-44-24_LAPTOP-1GID9RGH/events.out.tfevents.1718257950.LAPTOP-1GID9RGH.9096.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2eb8d2b85da61c1e81baf793acfbe4b3e3dae11c7dfee6d7c32d0abea0e022dc
+size 610