End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 100.0
+      value: 33.70720188902007
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Wer Ortho: 100.0
-- Wer: 100.0
+- Loss: 0.7940
+- Wer Ortho: 34.6083
+- Wer: 33.7072
 
 ## Model description
 
@@ -52,25 +52,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 4
+- train_batch_size: 64
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
 - training_steps: 500
-- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer   |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-----:|
-| 0.0           | 17.8571 | 500  | nan             | 100.0     | 100.0 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
+| 0.0004        | 71.4286 | 500  | 0.7940          | 34.6083   | 33.7072 |
 
 
 ### Framework versions
 
-- Transformers 5.2.0
-- Pytorch 2.10.0
+- Transformers 5.3.0
+- Pytorch 2.10.0+cu128
 - Datasets 4.6.1
 - Tokenizers 0.22.2