End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: hindi_wav2vec2_final_2
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # hindi_wav2vec2_final_2
 
 This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1054
+- Wer: 0.1211
 
 ## Model description
 
@@ -40,11 +45,17 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 30
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 50
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.7351        | 10.0  | 25   | 0.9007          | 0.4271 |
+| 0.5176        | 20.0  | 50   | 0.3738          | 0.1632 |
+| 0.3401        | 30.0  | 75   | 0.1954          | 0.1368 |
+| 0.1614        | 40.0  | 100  | 0.1054          | 0.1211 |
 
 
 ### Framework versions