End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [menhior/wav2vec2-large-xls-r-300m-turkish-colab-full](https://huggingface.co/menhior/wav2vec2-large-xls-r-300m-turkish-colab-full) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5118
-- Wer: 0.3669
+- Loss: 0.5444
+- Wer: 0.2736
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0003
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.2377        | 4.4   | 400  | 3.1532          | 1.0    |
-| 1.3074        | 8.79  | 800  | 0.5382          | 0.4256 |
-| 0.2782        | 13.19 | 1200 | 0.4887          | 0.3723 |
-| 0.1711        | 17.58 | 1600 | 0.5118          | 0.3669 |
+| 3.9357        | 4.4   | 400  | 0.5790          | 0.4613 |
+| 0.2762        | 8.79  | 800  | 0.4553          | 0.3248 |
+| 0.0788        | 13.19 | 1200 | 0.5028          | 0.2809 |
+| 0.0293        | 17.58 | 1600 | 0.5444          | 0.2736 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e8f44a77646834b68f1936d091a213f0b27587539e6583a7fd6876e2d591ed54
 size 1262131113