rinabuoy/whisper-tiny-khmer-aug

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper-tiny-khmer-aug
   results: []
@@ -15,13 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.9213
-- eval_wer: 108.3185
-- eval_runtime: 549.3345
-- eval_samples_per_second: 1.809
-- eval_steps_per_second: 0.115
-- epoch: 2.0
-- step: 1340
+- Loss: 0.2697
+- Wer: 68.1206
 
 ## Model description
 
@@ -51,9 +48,25 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 1000
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.8969        | 1.0   | 670  | 0.4289          | 91.3572 |
+| 0.3822        | 2.0   | 1340 | 0.3025          | 79.3741 |
+| 0.292         | 3.0   | 2010 | 0.2727          | 85.6819 |
+| 0.2439        | 4.0   | 2680 | 0.2637          | 74.1365 |
+| 0.2124        | 5.0   | 3350 | 0.2548          | 70.2124 |
+| 0.1844        | 6.0   | 4020 | 0.2606          | 79.7470 |
+| 0.1651        | 7.0   | 4690 | 0.2505          | 68.5909 |
+| 0.1472        | 8.0   | 5360 | 0.2637          | 67.9261 |
+| 0.1344        | 9.0   | 6030 | 0.2672          | 66.2234 |
+| 0.1194        | 10.0  | 6700 | 0.2697          | 68.1206 |
+
+
 ### Framework versions
 
 - Transformers 4.44.0
-- Pytorch 2.3.1+cu121
+- Pytorch 2.3.1
 - Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:2f7db0fe9b70ec3923e504f628e0a530474dd40f25551ab697372a62cfa1948c
 size 151061672