TheAIchemist13
/

hindi_wav2vec2_optimized_2

@@ -1,6 +1,6 @@
 ---
-license: mit
-base_model: Harveenchadha/vakyansh-wav2vec2-hindi-him-4200
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 # hindi_wav2vec2_optimized_2
-This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4408
-- Wer: 0.3122
 ## Model description
@@ -52,22 +52,22 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.2061        | 5.56  | 25   | 1.5744          | 0.5338 |
-| 0.4727        | 11.11 | 50   | 1.4735          | 0.4409 |
-| 0.2901        | 16.67 | 75   | 1.6240          | 0.4536 |
-| 0.1643        | 22.22 | 100  | 1.4403          | 0.4726 |
-| 0.0991        | 27.78 | 125  | 1.3516          | 0.4114 |
-| 0.0512        | 33.33 | 150  | 1.3740          | 0.4409 |
-| 0.0645        | 38.89 | 175  | 1.3560          | 0.3903 |
-| 0.0461        | 44.44 | 200  | 1.3505          | 0.3840 |
-| 0.0372        | 50.0  | 225  | 1.5078          | 0.4114 |
-| 0.0277        | 55.56 | 250  | 1.5161          | 0.3629 |
-| 0.0201        | 61.11 | 275  | 1.4834          | 0.3819 |
-| 0.016         | 66.67 | 300  | 1.4693          | 0.3608 |
-| 0.0122        | 72.22 | 325  | 1.4352          | 0.3439 |
-| 0.0147        | 77.78 | 350  | 1.4382          | 0.3291 |
-| 0.0098        | 83.33 | 375  | 1.4329          | 0.3122 |
-| 0.015         | 88.89 | 400  | 1.4408          | 0.3122 |
 ### Framework versions

 ---
+license: apache-2.0
+base_model: Harveenchadha/hindi_base_wav2vec2
 tags:
 - generated_from_trainer
 metrics:
 # hindi_wav2vec2_optimized_2
+This model is a fine-tuned version of [Harveenchadha/hindi_base_wav2vec2](https://huggingface.co/Harveenchadha/hindi_base_wav2vec2) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6089
+- Wer: 0.1899
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2406        | 5.56  | 25   | 0.5544          | 0.3418 |
+| 0.0725        | 11.11 | 50   | 0.4668          | 0.2426 |
+| 0.0437        | 16.67 | 75   | 0.6185          | 0.2405 |
+| 0.0344        | 22.22 | 100  | 0.5553          | 0.2257 |
+| 0.0311        | 27.78 | 125  | 0.5775          | 0.2300 |
+| 0.0287        | 33.33 | 150  | 0.7120          | 0.2110 |
+| 0.0242        | 38.89 | 175  | 0.7068          | 0.2152 |
+| 0.0175        | 44.44 | 200  | 0.5265          | 0.2384 |
+| 0.0128        | 50.0  | 225  | 0.5554          | 0.2300 |
+| 0.0114        | 55.56 | 250  | 0.6330          | 0.2300 |
+| 0.0105        | 61.11 | 275  | 0.6020          | 0.2194 |
+| 0.0052        | 66.67 | 300  | 0.6073          | 0.2152 |
+| 0.0041        | 72.22 | 325  | 0.5865          | 0.1941 |
+| 0.0074        | 77.78 | 350  | 0.6138          | 0.1983 |
+| 0.0033        | 83.33 | 375  | 0.6106          | 0.1920 |
+| 0.0074        | 88.89 | 400  | 0.6089          | 0.1899 |
 ### Framework versions