End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-xls-r-300m-dutch-fast-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice
+      type: common_voice
+      config: nl
+      split: test
+      args: nl
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.37981610317750925
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xls-r-300m-dutch-fast-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5065
+- Wer: 0.3798
 
 ## Model description
 
@@ -43,10 +61,16 @@ 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: 300
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.463         | 0.68  | 200  | 2.9358          | 1.0    |
+| 1.8336        | 1.36  | 400  | 0.9449          | 0.6652 |
+| 0.332         | 2.03  | 600  | 0.6117          | 0.4496 |
+| 0.1614        | 2.71  | 800  | 0.5065          | 0.3798 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:38fbb093664f0b84165b72e1497e82e0e309db9be05038c541651b3e0e5a755d
+oid sha256:a5e78780a58f659866003cc0ac6fa802a9e603a60c2c554426ef0a504913b8bc
 size 1262094573