End of training

README.md

@@ -1,18 +1,18 @@
 ---
 license: mit
+base_model: facebook/w2v-bert-2.0
 tags:
 - generated_from_trainer
 datasets:
 - common_voice_16_1
 metrics:
 - wer
-base_model: facebook/w2v-bert-2.0
 model-index:
 - name: w2v-bert-2.0-sr
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_16_1
       type: common_voice_16_1
@@ -20,9 +20,9 @@ model-index:
       split: test
       args: sr
     metrics:
-    - type: wer
-      value: 0.06932439583700829
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.05344857999647204
 ---
 
 <!-- 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/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1200
-- Wer: 0.0693
+- Loss: 0.1469
+- Wer: 0.0534
 
 ## Model description
 
@@ -61,16 +61,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 10
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.202         | 2.89  | 300  | 0.2028          | 0.1009 |
-| 0.1031        | 5.78  | 600  | 0.1945          | 0.1062 |
-| 0.0429        | 8.67  | 900  | 0.1200          | 0.0693 |
+| 2.1994        | 1.89  | 300  | 0.1350          | 0.1078 |
+| 0.2331        | 3.77  | 600  | 0.2306          | 0.1341 |
+| 0.1879        | 5.66  | 900  | 0.1354          | 0.0766 |
+| 0.1579        | 7.54  | 1200 | 0.1646          | 0.0958 |
+| 0.1293        | 9.43  | 1500 | 0.1207          | 0.0713 |
+| 0.1182        | 11.31 | 1800 | 0.1376          | 0.0737 |
+| 0.1061        | 13.2  | 2100 | 0.1244          | 0.0580 |
+| 0.1011        | 15.08 | 2400 | 0.1390          | 0.0602 |
+| 0.0933        | 16.97 | 2700 | 0.1313          | 0.0524 |
+| 0.0948        | 18.85 | 3000 | 0.1469          | 0.0534 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a975070504fe187e3c3ff110ff3a9605b5799725a737d84e1141eed4221159f8
+oid sha256:4eff6f28046924c27f71603cecfc42ee931bad8a35c5d9eb9ae80417504c7841
 size 2422962160