End of training

README.md

@@ -16,16 +16,16 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mizoru/ORD-ASR-synth/runs/9fzn9d6g)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mizoru/ORD-ASR-synth/runs/z7k05f52)
 # Whisper Large Ru ORD 0.9 Peft PEFT 4-bit Q DoRA - Mizoru 
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the ORD_0.9synth dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9558
-- Wer: 40.6657
-- Cer: 24.4035
-- Clean Wer: 31.0132
-- Clean Cer: 18.6156
+- Loss: 2.9191
+- Wer: 69.3030
+- Cer: 36.7586
+- Clean Wer: 38.4918
+- Clean Cer: 23.1425
 
 ## Model description
 
@@ -58,10 +58,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Clean Wer | Clean Cer |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
-| 1.2402        | 1.0   | 1162 | 1.0305          | 45.7847 | 26.7114 | 35.2453   | 20.8536   |
-| 1.1289        | 2.0   | 2324 | 1.0178          | 43.0872 | 25.8204 | 33.3149   | 20.0281   |
-| 1.0137        | 3.0   | 3486 | 0.9667          | 41.7595 | 24.7648 | 32.3701   | 18.9010   |
-| 0.9426        | 4.0   | 4648 | 0.9558          | 40.6657 | 24.4035 | 31.0132   | 18.6156   |
+| 1.1554        | 1.0   | 613  | 2.6287          | 77.3618 | 52.7094 | 55.4565   | 41.9807   |
+| 1.0513        | 2.0   | 1226 | 2.7804          | 73.4258 | 41.9948 | 46.7922   | 29.5494   |
+| 0.9911        | 3.0   | 1839 | 2.7527          | 72.0139 | 39.5863 | 43.3650   | 26.3904   |
+| 0.751         | 4.0   | 2452 | 2.9191          | 69.3030 | 36.7586 | 38.4918   | 23.1425   |
 
 
 ### Framework versions