End of training

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
-base_model: facebook/wav2vec2-large-xlsr-53
 datasets:
 - common_voice_13_0
 metrics:
@@ -11,8 +11,8 @@ model-index:
 - name: wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod12
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_13_0
       type: common_voice_13_0
@@ -20,9 +20,9 @@ model-index:
       split: test
       args: id
     metrics:
-    - type: wer
-      value: 0.29217367256637167
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.48354535398230086
 ---
 
 <!-- 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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3025
-- Wer: 0.2922
+- Loss: 0.4926
+- Wer: 0.4835
 
 ## Model description
 
@@ -52,29 +52,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 16
+- learning_rate: 3e-05
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 9
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.9131        | 1.0   | 464  | 2.9568          | 1.0    |
-| 1.0005        | 2.0   | 928  | 0.6123          | 0.5699 |
-| 0.5939        | 3.0   | 1392 | 0.4082          | 0.4204 |
-| 0.4569        | 4.0   | 1856 | 0.3475          | 0.3725 |
-| 0.4151        | 5.0   | 2320 | 0.3333          | 0.3413 |
-| 0.3655        | 6.0   | 2784 | 0.3223          | 0.3234 |
-| 0.3351        | 7.0   | 3248 | 0.3163          | 0.3078 |
-| 0.3103        | 8.0   | 3712 | 0.3045          | 0.2956 |
-| 0.3063        | 9.0   | 4176 | 0.3001          | 0.2900 |
-| 0.3072        | 10.0  | 4640 | 0.3025          | 0.2922 |
+| 2.8927        | 1.8   | 1000 | 2.8756          | 1.0    |
+| 1.2282        | 3.6   | 2000 | 0.8005          | 0.6955 |
+| 0.79          | 5.4   | 3000 | 0.5742          | 0.5471 |
+| 0.6958        | 7.19  | 4000 | 0.5083          | 0.4917 |
+| 0.7162        | 8.99  | 5000 | 0.4926          | 0.4835 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e46a7f93fab433ddb39fc4223010aed8137ee0d275d21d8ff79529b50e705757
+oid sha256:f3e9b9ff5ffd0efc42b53c814f8a7fb54d87a7358c8d6a56c1e89c78fc8d9d20
 size 1261991980