cs2fi_wav2vec2-large-xls-r-300m-czech-colab

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.0754716981132075
+      value: 1.0859538784067087
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the voxpopuli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 485.7458
-- Wer: 1.0755
+- Loss: 507.5248
+- Wer: 1.0860
 
 ## Model description
 
@@ -68,20 +68,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3007.5297     | 3.51  | 100  | 523.8923        | 0.9706 |
-| 353.1859      | 7.02  | 200  | 270.8087        | 0.9665 |
-| 207.1084      | 10.53 | 300  | 215.3542        | 0.9350 |
-| 186.3063      | 14.04 | 400  | 210.1422        | 0.9119 |
-| 171.7259      | 17.54 | 500  | 291.5182        | 1.0629 |
-| 142.6091      | 21.05 | 600  | 219.2806        | 0.9602 |
-| 118.6791      | 24.56 | 700  | 312.2755        | 1.1132 |
-| 96.153        | 28.07 | 800  | 320.7119        | 1.0545 |
-| 82.968        | 31.58 | 900  | 357.5117        | 1.0629 |
-| 71.2426       | 35.09 | 1000 | 421.3889        | 0.9916 |
-| 58.8083       | 38.6  | 1100 | 433.8375        | 1.1048 |
-| 54.5225       | 42.11 | 1200 | 482.5988        | 1.0566 |
-| 48.12         | 45.61 | 1300 | 479.3787        | 1.0860 |
-| 43.3324       | 49.12 | 1400 | 485.7458        | 1.0755 |
+| 3042.8738     | 3.51  | 100  | 422.1938        | 0.9518 |
+| 362.1554      | 7.02  | 200  | 231.7486        | 1.0    |
+| 208.092       | 10.53 | 300  | 196.4194        | 0.9958 |
+| 189.1354      | 14.04 | 400  | 211.6223        | 0.9350 |
+| 163.6355      | 17.54 | 500  | 235.3201        | 0.9182 |
+| 140.7959      | 21.05 | 600  | 256.4028        | 0.9539 |
+| 115.5506      | 24.56 | 700  | 311.4562        | 1.0147 |
+| 93.6629       | 28.07 | 800  | 304.0882        | 1.2243 |
+| 78.9694       | 31.58 | 900  | 354.5415        | 1.1279 |
+| 67.4151       | 35.09 | 1000 | 423.6178        | 1.0860 |
+| 55.1471       | 38.6  | 1100 | 468.3192        | 1.0922 |
+| 55.8001       | 42.11 | 1200 | 408.8039        | 1.0839 |
+| 46.9208       | 45.61 | 1300 | 524.1367        | 1.0650 |
+| 43.7264       | 49.12 | 1400 | 507.5248        | 1.0860 |
 
 
 ### Framework versions