Model save

README.md

@@ -1,30 +1,25 @@
 ---
 library_name: transformers
-language:
-- pl
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
-- name: Whisper Large v3 - impaired polish speech
+- name: whisper-large-v3-polish-impaired
   results: []
 ---
 
 <!-- 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. -->
 
-# Whisper Large v3 - impaired polish speech
+# whisper-large-v3-polish-impaired
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.7295
-- eval_wer: 51.9713
-- eval_runtime: 3342.3788
-- eval_samples_per_second: 0.024
-- eval_steps_per_second: 0.003
-- epoch: 0.05
-- step: 1
+- Loss: 2.5641
+- Wer: 83.0040
 
 ## Model description
 
@@ -50,9 +45,20 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- training_steps: 1000
+- training_steps: 5
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 2.239         | 0.05  | 1    | 2.7489          | 84.5850 |
+| 1.8286        | 0.1   | 2    | 2.7304          | 84.5850 |
+| 2.1458        | 0.15  | 3    | 2.6956          | 84.5850 |
+| 2.5037        | 0.2   | 4    | 2.6399          | 83.3992 |
+| 2.5533        | 0.25  | 5    | 2.5641          | 83.0040 |
+
+
 ### Framework versions
 
 - Transformers 4.47.1

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