End of training

README.md

@@ -5,9 +5,22 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_6_1
+metrics:
+- wer
 model-index:
 - name: Whisper Small Frisian 10m
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 6.1
+      type: mozilla-foundation/common_voice_6_1
+      args: 'config: frisian, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 62.548565318125114
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,13 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 6.1 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.6201
-- eval_wer: 60.5347
-- eval_runtime: 648.7842
-- eval_samples_per_second: 4.655
-- eval_steps_per_second: 0.583
-- epoch: 33.3333
-- step: 500
+- Loss: 1.5656
+- Wer: 62.5486
 
 ## Model description
 
@@ -49,9 +57,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- training_steps: 2000
+- training_steps: 300
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.8838        | 6.6667  | 100  | 1.6662          | 71.3171 |
+| 0.0976        | 13.3333 | 200  | 1.5559          | 63.6036 |
+| 0.023         | 20.0    | 300  | 1.5656          | 62.5486 |
+
+
 ### Framework versions
 
 - Transformers 4.40.1

model.safetensors

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runs/May29_23-18-46_a100gpu3/events.out.tfevents.1717017553.a100gpu3.3423129.8

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training_args.bin

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