End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: motheecreator/wav2vec2-base-finetuned-ks
+base_model: Abdalla312/wav2vec2-base-finetuned-ks
 tags:
 - generated_from_trainer
 datasets:
@@ -17,12 +17,12 @@ model-index:
       name: audiofolder
       type: audiofolder
       config: default
-      split: train
+      split: validation
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.999056010069226
+      value: 0.9999221365724519
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-finetuned-ks
 
-This model is a fine-tuned version of [motheecreator/wav2vec2-base-finetuned-ks](https://huggingface.co/motheecreator/wav2vec2-base-finetuned-ks) on the audiofolder dataset.
+This model is a fine-tuned version of [Abdalla312/wav2vec2-base-finetuned-ks](https://huggingface.co/Abdalla312/wav2vec2-base-finetuned-ks) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0062
-- Accuracy: 0.9991
+- Loss: 0.0003
+- Accuracy: 0.9999
 
 ## Model description
 
@@ -53,25 +53,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0107        | 1.0   | 198  | 0.0164          | 0.9969   |
-| 0.0091        | 2.0   | 397  | 0.0055          | 0.9987   |
-| 0.0007        | 3.0   | 596  | 0.0062          | 0.9991   |
-| 0.0065        | 4.0   | 795  | 0.0068          | 0.9987   |
-| 0.0001        | 4.98  | 990  | 0.0066          | 0.9984   |
+| 0.0069        | 1.0   | 511  | 0.0376          | 0.9914   |
+| 0.0           | 2.0   | 1023 | 0.0003          | 0.9999   |
+| 0.0           | 3.0   | 1533 | 0.0006          | 0.9999   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e8c7863e06d1efddd1897e667726b46e8234360d99d8a71dbb7f4918a8ac1bf
+oid sha256:887d1ab7ed7fa02c5c87092a8365d7bbeeb337b92a0ccb189e999cec3e62a719
 size 378302360

runs/Apr22_16-13-37_8fea32aaa176/events.out.tfevents.1713813601.8fea32aaa176.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:677da4c2c0855579c29f6fc13ee750db6b5253547f35fc45321b03a1577f7d41
+size 411