End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: EzraWilliam/wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1
+base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1
 
-This model is a fine-tuned version of [EzraWilliam/wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1](https://huggingface.co/EzraWilliam/wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William_Prod1) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7244
-- Wer: 1.0085
+- Loss: 2.8876
+- Wer: 1.0
 
 ## Model description
 
@@ -43,16 +43,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 10000
+- lr_scheduler_warmup_steps: 5000
 - num_epochs: 30
-- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4266        | 11.9  | 500  | 1.5595          | 0.9622 |
-| 0.3395        | 23.81 | 1000 | 1.7244          | 1.0085 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 7.1276        | 11.9  | 500  | 2.9936          | 1.0 |
+| 2.8738        | 23.81 | 1000 | 2.8876          | 1.0 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan22_10-36-59_d1f9cb36e808/events.out.tfevents.1705919830.d1f9cb36e808.302.0

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