3funnn/wav2vec2-base-librispeech

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.44274809160305345
+      value: 0.4069767441860465
 ---
 
 <!-- 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-base](https://huggingface.co/facebook/wav2vec2-base) on the librispeech_asr_dummy dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8630
-- Wer: 0.4427
+- Loss: 0.9548
+- Wer: 0.4070
 
 ## Model description
 
@@ -59,15 +59,18 @@ 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: 1000
-- num_epochs: 60
+- num_epochs: 150
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0416        | 29.41 | 500  | 0.8917          | 0.4275 |
-| 0.0419        | 58.82 | 1000 | 0.8630          | 0.4427 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 4.4865        | 29.41  | 500  | 3.5010          | 1.0    |
+| 1.112         | 58.82  | 1000 | 1.0382          | 0.4767 |
+| 0.111         | 88.24  | 1500 | 0.9833          | 0.5116 |
+| 0.0438        | 117.65 | 2000 | 0.9302          | 0.4302 |
+| 0.0241        | 147.06 | 2500 | 0.9548          | 0.4070 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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