End of training

README.md

@@ -1,18 +1,18 @@
 ---
+license: apache-2.0
 base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
 datasets:
 - vivos
-license: apache-2.0
 metrics:
 - wer
-tags:
-- generated_from_trainer
 model-index:
 - name: wav2vec2-vivos-asr
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: vivos
       type: vivos
@@ -20,21 +20,21 @@ model-index:
       split: None
       args: default
     metrics:
-    - type: wer
-      value: 0.3726759841005257
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.39171506989212995
 ---
 
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/Wav2Vec2/runs/p3skrhqk)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/Wav2Vec2/runs/dhvwjkwm)
 # wav2vec2-vivos-asr
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the vivos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7912
-- Wer: 0.3727
+- Loss: 0.7105
+- Wer: 0.3917
 
 ## Model description
 
@@ -62,28 +62,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 400
-- num_epochs: 30
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.8168        | 2.0   | 292  | 3.6240          | 1.0    |
-| 3.4344        | 4.0   | 584  | 3.4785          | 1.0    |
-| 3.0271        | 6.0   | 876  | 1.8947          | 0.9142 |
-| 1.2453        | 8.0   | 1168 | 1.0293          | 0.6091 |
-| 0.7876        | 10.0  | 1460 | 0.8472          | 0.5229 |
-| 0.6062        | 12.0  | 1752 | 0.7675          | 0.4748 |
-| 0.4929        | 14.0  | 2044 | 0.7494          | 0.4303 |
-| 0.4376        | 16.0  | 2336 | 0.7481          | 0.4063 |
-| 0.3523        | 18.0  | 2628 | 0.7580          | 0.4007 |
-| 0.309         | 20.0  | 2920 | 0.7676          | 0.3851 |
-| 0.2694        | 22.0  | 3212 | 0.7631          | 0.3819 |
-| 0.2531        | 24.0  | 3504 | 0.7717          | 0.3761 |
-| 0.2472        | 26.0  | 3796 | 0.7825          | 0.3710 |
-| 0.2223        | 28.0  | 4088 | 0.7905          | 0.3732 |
-| 0.2183        | 30.0  | 4380 | 0.7912          | 0.3727 |
+| 5.7574        | 2.0   | 292  | 3.6165          | 1.0    |
+| 3.4366        | 4.0   | 584  | 3.5022          | 1.0    |
+| 2.7297        | 6.0   | 876  | 1.4138          | 0.7707 |
+| 1.0147        | 8.0   | 1168 | 0.8998          | 0.5443 |
+| 0.6909        | 10.0  | 1460 | 0.7924          | 0.4759 |
+| 0.5341        | 12.0  | 1752 | 0.7368          | 0.4337 |
+| 0.4472        | 14.0  | 2044 | 0.7149          | 0.4063 |
+| 0.4269        | 16.0  | 2336 | 0.7197          | 0.4002 |
+| 0.3627        | 18.0  | 2628 | 0.7151          | 0.3961 |
+| 0.3487        | 20.0  | 2920 | 0.7105          | 0.3917 |
 
 
 ### Framework versions