Update README.md

README.md

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-assamese
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_7_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8161
-- Wer: 0.9253
+- Loss: 2.288851
+- Wer: 0.784086
 
 ## Model description
 
@@ -36,10 +36,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+
+- learning_rate: 3e-4
 - train_batch_size: 16
 - eval_batch_size: 8
-- seed: 42
+- seed: not given
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -50,14 +51,20 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:------:|
-| 5.7373        | 66.67  | 400  | 2.8928          | 1.0    |
-| 0.4283        | 133.33 | 800  | 2.3869          | 0.9715 |
-| 0.0672        | 200.0  | 1200 | 2.6249          | 0.9431 |
-| 0.0266        | 266.67 | 1600 | 2.7549          | 0.9490 |
-| 0.0108        | 333.33 | 2000 | 2.7943          | 0.9229 |
-| 0.0054        | 400.0  | 2400 | 2.8161          | 0.9253 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:------:  |
+| 1.584065      | NA     | 400  | 1.584065        | 0.915512 |
+| 1.658865      | Na     | 800  | 1.658865        | 0.805096 |
+| 1.882352      | NA     | 1200 | 1.882352        | 0.820742 |
+| 1.881240      | NA     | 1600 | 1.881240        | 0.810907 |
+| 2.159748      | NA     | 2000 | 2.159748        | 0.804202 |
+| 1.992871      | NA     | 2400 | 1.992871        | 0.803308 |
+| 2.201436      | NA     | 2800 | 2.201436        | 0.802861 |
+| 2.165218      | NA     | 3200 | 2.165218        | 0.793920 |
+| 2.253643      | NA     | 3600 | 2.253643        | 0.796603 |
+| 2.265880      | NA     | 4000 | 2.265880        | 0.790344 |
+| 2.293935      | NA     | 4400 | 2.293935        | 0.797050 |
+| 2.288851      | NA     | 4800 | 2.288851        | 0.784086 |
 
 
 ### Framework versions