bisoye
/

wav2vec2-base_lr_3e-4

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0784
-- Accuracy: 0.1406
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 0.003
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -47,22 +47,27 @@ The following hyperparameters were used during training:
 - 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 |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 2.0876        | 0.9851 | 33   | 2.0858          | 0.1406   |
-| 2.082         | 2.0    | 67   | 2.0807          | 0.1293   |
-| 2.0806        | 2.9851 | 100  | 2.0791          | 0.1406   |
-| 2.0802        | 4.0    | 134  | 2.0787          | 0.1406   |
-| 2.0804        | 4.9851 | 167  | 2.0803          | 0.1172   |
-| 2.0816        | 6.0    | 201  | 2.0786          | 0.1406   |
-| 2.078         | 6.9851 | 234  | 2.0783          | 0.1406   |
-| 2.0782        | 8.0    | 268  | 2.0784          | 0.1406   |
-| 2.0785        | 8.9851 | 301  | 2.0784          | 0.1406   |
-| 2.0767        | 9.8507 | 330  | 2.0784          | 0.1406   |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0682
+- Accuracy: 0.9784
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 0.0003
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
 ### Training results
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.7893        | 0.9851  | 33   | 1.5529          | 0.4602   |
+| 0.9637        | 2.0     | 67   | 0.8562          | 0.7563   |
+| 0.5758        | 2.9851  | 100  | 0.4980          | 0.8276   |
+| 0.5401        | 4.0     | 134  | 0.3442          | 0.8875   |
+| 0.3908        | 4.9851  | 167  | 0.4630          | 0.8322   |
+| 0.348         | 6.0     | 201  | 0.2102          | 0.9260   |
+| 0.309         | 6.9851  | 234  | 0.1996          | 0.9391   |
+| 0.305         | 8.0     | 268  | 0.3001          | 0.9185   |
+| 0.2311        | 8.9851  | 301  | 0.2150          | 0.9335   |
+| 0.2362        | 10.0    | 335  | 0.1218          | 0.9550   |
+| 0.1929        | 10.9851 | 368  | 0.1334          | 0.9550   |
+| 0.1781        | 12.0    | 402  | 0.1077          | 0.9597   |
+| 0.15          | 12.9851 | 435  | 0.0749          | 0.9719   |
+| 0.1437        | 14.0    | 469  | 0.0710          | 0.9756   |
+| 0.1135        | 14.7761 | 495  | 0.0682          | 0.9784   |
 ### Framework versions

runs/Aug28_18-23-58_82d56dd11ddf/events.out.tfevents.1724869439.82d56dd11ddf.24.0 CHANGED Viewed

@@ -1,3 +1,3 @@
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