End of training

README.md

@@ -1,32 +1,16 @@
 ---
 language:
 - nan
-- zh
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_16_1
 model-index:
 - name: Whisper Small nan-tw - Taiwanese
-  results:
-      - task:
-          name: Automatic Speech Recognition
-          type: automatic-speech-recognition
-        dataset:
-          name: mozilla-foundation/common_voice_16_1 nan-tw
-          type: mozilla-foundation/common_voice_16_0
-          config: nan-tw
-          split: test
-          args: nan-tw
-        metrics:
-          - name: CER
-            type: cer
-            value: 29.831606
-metrics:
-- cer
-pipeline_tag: automatic-speech-recognition
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,8 +20,8 @@ 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 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3880
-- Cer: 29.8316
+- Loss: 0.3647
+- Cer: 28.4585
 
 ## Model description
 
@@ -63,17 +47,18 @@ 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: 500
-- training_steps: 4000
+- training_steps: 5000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Cer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.6846        | 0.65  | 1000 | 0.6206          | 43.9508 |
-| 0.3563        | 1.29  | 2000 | 0.4756          | 35.1554 |
-| 0.29          | 1.94  | 3000 | 0.4050          | 31.3860 |
-| 0.1704        | 2.58  | 4000 | 0.3880          | 29.8316 |
+| 0.6816        | 0.65  | 1000 | 0.6212          | 43.9508 |
+| 0.3575        | 1.29  | 2000 | 0.4729          | 34.6632 |
+| 0.2899        | 1.94  | 3000 | 0.4043          | 31.3601 |
+| 0.1543        | 2.58  | 4000 | 0.3714          | 28.9896 |
+| 0.087         | 3.23  | 5000 | 0.3647          | 28.4585 |
 
 
 ### Framework versions
@@ -81,4 +66,4 @@ The following hyperparameters were used during training:
 - Transformers 4.38.2
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2

runs/Mar07_20-10-35_0c74c9184eaa/events.out.tfevents.1709842237.0c74c9184eaa.25.0

@@ -1,3 +1,3 @@
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-size 49211
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+size 49565