End of training

README.md

@@ -1,24 +1,24 @@
 ---
 library_name: transformers
-license: mit
-base_model: microsoft/speecht5_tts
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 datasets:
-- voxpopuli
+- facebook/voxpopuli
 model-index:
-- name: speecht5_finetuned_voxpopuli_nl
+- name: fazalazami-finetuned-testtospeech
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# speecht5_finetuned_voxpopuli_nl
+# fazalazami-finetuned-testtospeech
 
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the facebook/voxpopuli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4603
+- Loss: 0.4794
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss |
 |:-------------:|:-------:|:----:|:---------------:|
-| 0.5214        | 4.3077  | 1000 | 0.4788          |
-| 0.4955        | 8.6154  | 2000 | 0.4662          |
-| 0.4906        | 12.9231 | 3000 | 0.4610          |
-| 0.4884        | 17.2318 | 4000 | 0.4603          |
+| 0.547         | 6.1303  | 1000 | 0.5015          |
+| 0.5323        | 12.2605 | 2000 | 0.4867          |
+| 0.522         | 18.3908 | 3000 | 0.4821          |
+| 0.5127        | 24.5211 | 4000 | 0.4794          |
 
 
 ### Framework versions