End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 44.135490394337715
+      value: 0.3700564971751412
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 1.4342
-- Wer Ortho: 46.8432
-- Wer: 44.1355
+- Loss: 1.4305
+- Wer Ortho: 0.3944
+- Wer: 0.3701
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
 - optimizer: Use adamw_torch 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: 100
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.0039        | 64.2857 | 450  | 1.4342          | 46.8432   | 44.1355 |
+| Training Loss | Epoch    | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|
+| 0.009         | 112.6154 | 450  | 1.4305          | 0.3944    | 0.3701 |
 
 
 ### Framework versions