End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.6214739858511686
+      value: 0.5838631682636339
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6866
-- Wer: 0.6215
+- Loss: 0.8055
+- Wer: 0.5839
 
 ## Model description
 
@@ -60,15 +60,17 @@ 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
+- lr_scheduler_warmup_steps: 200
 - num_epochs: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.0973        | 14.04 | 400  | 2.6074          | 1.0    |
-| 0.6356        | 28.07 | 800  | 0.6866          | 0.6215 |
+| 0.2123        | 7.02  | 200  | 0.7225          | 0.6387 |
+| 0.1811        | 14.04 | 400  | 0.7815          | 0.6240 |
+| 0.1385        | 21.05 | 600  | 0.7848          | 0.6229 |
+| 0.1098        | 28.07 | 800  | 0.8055          | 0.5839 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:211ef4ab09b178684aed0c8e2988d982584f62a0e91265599fbc291dfa353698
+oid sha256:20d43bc38b6f692850979092e66dd70e84cdc58885ef01ace616a2c2e04bd41d
 size 1262107370