End of training

README.md

@@ -17,9 +17,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4317
-- Wer Ortho: 0.3226
-- Wer: 0.3235
+- Loss: 0.5603
+- Wer Ortho: 0.2844
+- Wer: 0.2910
 
 ## Model description
 
@@ -45,15 +45,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 445
+- training_steps: 2225
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
-| 0.3756        | 0.3371 | 150  | 0.4822          | 0.3492    | 0.3512 |
-| 0.4808        | 0.6742 | 300  | 0.4317          | 0.3226    | 0.3235 |
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.5396        | 1.0   | 445  | 0.4247          | 0.3387    | 0.3394 |
+| 0.2289        | 2.0   | 890  | 0.4628          | 0.2961    | 0.3017 |
+| 0.1448        | 3.0   | 1335 | 0.4680          | 0.2819    | 0.2869 |
+| 0.0405        | 4.0   | 1780 | 0.5402          | 0.3029    | 0.3052 |
+| 0.0092        | 5.0   | 2225 | 0.5603          | 0.2844    | 0.2910 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:018781bc5f6dab879264a533e58724eef4dafd6e986714b42c1faaa26b40d282
 size 151061672