End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper-base-v3
   results: []
@@ -16,13 +18,8 @@ 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:
-- eval_loss: 1.1620
-- eval_wer: 44.3293
-- eval_runtime: 164.4911
-- eval_samples_per_second: 1.216
-- eval_steps_per_second: 0.152
-- epoch: 30.0
-- step: 1500
+- Loss: 0.9925
+- Wer: 59.2459
 
 ## Model description
 
@@ -41,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1.25e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -51,6 +48,16 @@ The following hyperparameters were used during training:
 - training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3646        | 10.0  | 500  | 0.7449          | 68.1306 |
+| 0.0248        | 20.0  | 1000 | 0.9000          | 55.8220 |
+| 0.0058        | 30.0  | 1500 | 0.9660          | 56.1254 |
+| 0.0025        | 40.0  | 2000 | 0.9925          | 59.2459 |
+
+
 ### Framework versions
 
 - Transformers 4.46.2

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:22a3c62d0a6f524328294a4a59e9b26865d2dca04d0c23909b4c91347490d12d
 size 966995080