update model card README.md

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-tamil-tam-250](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-tamil-tam-250) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.3440
+- Loss: 3.3415
 - Wer: 1.0
 
 ## Model description
@@ -44,7 +44,7 @@ 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: 400
 - num_epochs: 30
 - mixed_precision_training: Native AMP
 
@@ -52,13 +52,23 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 4.568         | 4.21  | 400  | 3.3715          | 1.0 |
-| 3.2873        | 8.42  | 800  | 3.3552          | 1.0 |
-| 3.2812        | 12.63 | 1200 | 3.3399          | 1.0 |
-| 3.2754        | 16.84 | 1600 | 3.3670          | 1.0 |
-| 3.2751        | 21.05 | 2000 | 3.3369          | 1.0 |
-| 3.2747        | 25.26 | 2400 | 3.3417          | 1.0 |
-| 3.2738        | 29.47 | 2800 | 3.3440          | 1.0 |
+| 5.384         | 1.69  | 200  | 3.3400          | 1.0 |
+| 3.3085        | 3.39  | 400  | 3.3609          | 1.0 |
+| 3.3008        | 5.08  | 600  | 3.3331          | 1.0 |
+| 3.2852        | 6.78  | 800  | 3.3492          | 1.0 |
+| 3.2908        | 8.47  | 1000 | 3.3318          | 1.0 |
+| 3.2865        | 10.17 | 1200 | 3.3501          | 1.0 |
+| 3.2826        | 11.86 | 1400 | 3.3403          | 1.0 |
+| 3.2875        | 13.56 | 1600 | 3.3335          | 1.0 |
+| 3.2899        | 15.25 | 1800 | 3.3311          | 1.0 |
+| 3.2755        | 16.95 | 2000 | 3.3617          | 1.0 |
+| 3.2877        | 18.64 | 2200 | 3.3317          | 1.0 |
+| 3.2854        | 20.34 | 2400 | 3.3560          | 1.0 |
+| 3.2878        | 22.03 | 2600 | 3.3332          | 1.0 |
+| 3.2766        | 23.73 | 2800 | 3.3317          | 1.0 |
+| 3.2943        | 25.42 | 3000 | 3.3737          | 1.0 |
+| 3.2845        | 27.12 | 3200 | 3.3347          | 1.0 |
+| 3.2765        | 28.81 | 3400 | 3.3415          | 1.0 |
 
 
 ### Framework versions