update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [agnesluhtaru/whisper-large-et-ERR2020-v2](https://huggingface.co/agnesluhtaru/whisper-large-et-ERR2020-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4132
-- Wer: 15.7347
+- Loss: 0.3934
+- Wer: 15.6445
 
 ## Model description
 
@@ -45,21 +45,17 @@ 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: 200
-- training_steps: 4000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0297        | 4.03  | 500  | 0.3037          | 16.7147 |
-| 0.0057        | 8.06  | 1000 | 0.3435          | 15.9496 |
-| 0.0049        | 12.1  | 1500 | 0.3610          | 16.8737 |
-| 0.0015        | 16.13 | 2000 | 0.3610          | 16.1258 |
-| 0.001         | 20.16 | 2500 | 0.3868          | 16.0356 |
-| 0.0011        | 24.19 | 3000 | 0.3949          | 15.8293 |
-| 0.0006        | 28.22 | 3500 | 0.4028          | 15.7476 |
-| 0.0008        | 32.26 | 4000 | 0.4132          | 15.7347 |
+| 0.0302        | 4.03  | 500  | 0.2971          | 16.2892 |
+| 0.0042        | 8.06  | 1000 | 0.3406          | 15.8551 |
+| 0.0017        | 12.1  | 1500 | 0.3714          | 15.5585 |
+| 0.0009        | 16.13 | 2000 | 0.3934          | 15.6445 |
 
 
 ### Framework versions