End of training

README.md

@@ -7,7 +7,7 @@ base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_0
+- mozilla-foundation/common_voice_11_0
 model-index:
 - name: Whisper Small Vi - Thai Hoa
   results: []
@@ -18,7 +18,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Vi - Thai Hoa
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.0220
+- eval_wer_ortho: 31.6430
+- eval_wer: 27.3131
+- eval_runtime: 296.4189
+- eval_samples_per_second: 4.298
+- eval_steps_per_second: 0.135
+- epoch: 27.7778
+- step: 500
 
 ## Model description
 
@@ -37,7 +46,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 1.4444000000000001e-05
 - train_batch_size: 64
 - eval_batch_size: 32
 - seed: 42
@@ -46,7 +55,7 @@ The following hyperparameters were used during training:
 - 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: 50
-- training_steps: 1400
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 966995080

runs/Dec23_12-01-57_b3d14713af75/events.out.tfevents.1734955328.b3d14713af75.1662.0

@@ -1,3 +1,3 @@
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+size 12021