End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 93.31727244160469
+      value: 95.72392751479289
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/wav2vec2](https://huggingface.co/openai/wav2vec2) on the Radio-Modified Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 274.6956
-- Wer: 93.3173
+- Loss: 316.8398
+- Wer: 95.7239
 
 ## Model description
 
@@ -62,23 +62,28 @@ 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
-- training_steps: 10000
+- training_steps: 15000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer     |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 454.7647      | 0.1   | 1000  | 432.4697        | 96.7955 |
-| 381.9785      | 0.2   | 2000  | 345.0900        | 97.3774 |
-| 346.4287      | 0.3   | 3000  | 345.3813        | 96.7005 |
-| 313.4983      | 0.4   | 4000  | 334.5611        | 95.2668 |
-| 344.4422      | 0.5   | 5000  | 422.9466        | 96.1369 |
-| 349.3033      | 0.6   | 6000  | 337.1495        | 91.9877 |
-| 337.6954      | 0.7   | 7000  | 299.1713        | 95.9529 |
-| 313.1935      | 0.8   | 8000  | 283.5478        | 95.4207 |
-| 348.8207      | 0.9   | 9000  | 275.7858        | 92.5278 |
-| 325.8637      | 1.0   | 10000 | 274.6956        | 93.3173 |
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|
+| 483.2584      | 2.0083  | 1000  | 434.6134        | 100.0   |
+| 405.653       | 4.0167  | 2000  | 344.3590        | 96.6701 |
+| 370.4857      | 6.025   | 3000  | 342.5145        | 99.8213 |
+| 369.1107      | 9.0042  | 4000  | 327.9243        | 99.9830 |
+| 346.2929      | 11.0125 | 5000  | 318.8220        | 99.3436 |
+| 343.8343      | 13.0208 | 6000  | 312.6764        | 98.5592 |
+| 341.4097      | 15.0292 | 7000  | 314.1781        | 99.1016 |
+| 353.2187      | 18.0083 | 8000  | 337.7428        | 99.9430 |
+| 362.3456      | 20.0167 | 9000  | 312.4731        | 97.1724 |
+| 340.6648      | 22.025  | 10000 | 309.5160        | 96.7086 |
+| 346.2773      | 25.0042 | 11000 | 307.8313        | 96.0953 |
+| 324.1138      | 27.0125 | 12000 | 314.9616        | 95.1754 |
+| 331.969       | 29.0208 | 13000 | 311.7163        | 95.5329 |
+| 325.9136      | 31.0292 | 14000 | 315.2805        | 95.6577 |
+| 335.0141      | 34.0083 | 15000 | 316.8398        | 95.7239 |
 
 
 ### Framework versions

model.safetensors

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 size 377611120

training_args.bin

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 size 5048