End of training

README.md

@@ -17,8 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3263
-- Wer: 1.0593
+- Loss: 0.3611
+- Wer: 0.2992
+- Cer: 0.0786
 
 ## Model description
 
@@ -37,27 +38,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 0.0001
 - train_batch_size: 32
-- eval_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 50
-- num_epochs: 40
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 100
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.0662        | 6.25  | 100  | 3.4034          | 1.0    |
-| 3.348         | 12.5  | 200  | 3.1795          | 1.0    |
-| 2.4085        | 18.75 | 300  | 1.5518          | 1.0432 |
-| 1.0433        | 25.0  | 400  | 1.2322          | 1.0514 |
-| 0.5163        | 31.25 | 500  | 1.2808          | 1.0495 |
-| 0.3625        | 37.5  | 600  | 1.3263          | 1.0593 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 7.0431        | 19.05 | 300  | 3.4423          | 1.0    | 1.0    |
+| 2.3233        | 38.1  | 600  | 0.5965          | 0.4757 | 0.1329 |
+| 0.5676        | 57.14 | 900  | 0.3962          | 0.3584 | 0.0954 |
+| 0.3611        | 76.19 | 1200 | 0.3651          | 0.3190 | 0.0820 |
+| 0.2996        | 95.24 | 1500 | 0.3611          | 0.2992 | 0.0786 |
 
 
 ### Framework versions