gopikachu
/

wav2vec2_300m

@@ -17,9 +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: 0.1547
-- Wer: 0.8678
-- Cer: 0.6587
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -47,24 +47,31 @@ 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: 100
-- num_epochs: 50
 - mixed_precision_training: Native AMP
 ### Training results
-| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
-|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
-| -0.9205       | 4.3478  | 100  | -0.4248         | 0.8422 | 0.7414 |
-| -0.8751       | 8.6957  | 200  | -0.2960         | 0.7722 | 0.6895 |
-| -0.9206       | 13.0435 | 300  | -0.3798         | 0.8189 | 0.6939 |
-| -0.935        | 17.3913 | 400  | -0.2858         | 0.7967 | 0.6710 |
-| -0.9861       | 21.7391 | 500  | -0.3348         | 0.8044 | 0.6593 |
-| -1.0678       | 26.0870 | 600  | -0.1170         | 0.8    | 0.6684 |
-| -1.1726       | 30.4348 | 700  | -0.1361         | 0.8211 | 0.6455 |
-| -1.2823       | 34.7826 | 800  | 0.0727          | 0.8267 | 0.6364 |
-| -1.3598       | 39.1304 | 900  | 0.0174          | 0.8356 | 0.6493 |
-| -1.4364       | 43.4783 | 1000 | 0.1610          | 0.8456 | 0.6490 |
-| -1.495        | 47.8261 | 1100 | 0.1547          | 0.8678 | 0.6587 |
 ### Framework versions

 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: -1.7265
+- Cer: 2.8268
+- Wer: 1.0
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
+- num_epochs: 300
 - mixed_precision_training: Native AMP
 ### Training results
+| Training Loss | Epoch    | Step | Validation Loss | Cer    | Wer |
+|:-------------:|:--------:|:----:|:---------------:|:------:|:---:|
+| -2.2058       | 16.6667  | 100  | -1.7563         | 2.7979 | 1.0 |
+| -2.2553       | 33.3333  | 200  | -1.7904         | 2.8052 | 1.0 |
+| -2.3332       | 50.0     | 300  | -1.8135         | 2.8289 | 1.0 |
+| -2.3625       | 66.6667  | 400  | -1.7726         | 2.7791 | 1.0 |
+| -2.3912       | 83.3333  | 500  | -1.7941         | 2.7467 | 1.0 |
+| -2.4162       | 100.0    | 600  | -1.7979         | 2.7745 | 1.0 |
+| -2.4141       | 116.6667 | 700  | -1.7517         | 2.7428 | 1.0 |
+| -2.4383       | 133.3333 | 800  | -1.8364         | 2.9398 | 1.0 |
+| -2.4441       | 150.0    | 900  | -1.7691         | 2.8856 | 1.0 |
+| -2.4518       | 166.6667 | 1000 | -1.7509         | 2.7699 | 1.0 |
+| -2.4653       | 183.3333 | 1100 | -1.7286         | 2.8175 | 1.0 |
+| -2.4651       | 200.0    | 1200 | -1.7521         | 2.7321 | 1.0 |
+| -2.4619       | 216.6667 | 1300 | -1.6761         | 2.7655 | 1.0 |
+| -2.4649       | 233.3333 | 1400 | -1.6887         | 2.7880 | 1.0 |
+| -2.4863       | 250.0    | 1500 | -1.7591         | 2.7745 | 1.0 |
+| -2.472        | 266.6667 | 1600 | -1.7198         | 2.7464 | 1.0 |
+| -2.477        | 283.3333 | 1700 | -1.7385         | 2.8616 | 1.0 |
+| -2.4708       | 300.0    | 1800 | -1.7265         | 2.8268 | 1.0 |
 ### Framework versions