End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.9727626459143969
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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 minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8388
-- Wer: 0.9728
+- Loss: 2.9619
+- Wer: 1.0
 
 ## Model description
 
@@ -63,18 +63,19 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 200
 - training_steps: 1000
+- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 2.7068        | 100.0 | 500  | 2.8991          | 1.0    |
-| 1.7504        | 200.0 | 1000 | 2.8388          | 0.9728 |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 2.8923        | 100.0 | 500  | 2.9567          | 1.0 |
+| 2.6021        | 200.0 | 1000 | 2.9619          | 1.0 |
 
 
 ### Framework versions
 
 - Transformers 4.47.0
-- Pytorch 2.5.1
-- Datasets 3.1.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.21.0
 - Tokenizers 0.21.0

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