Rafaelrosendo1/whisper_small_teste

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper_small_saida
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper_small_saida
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3761
+- Wer: 22.5056
 
 ## Model description
 
@@ -32,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-07
+- learning_rate: 1e-08
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -40,11 +45,14 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 1024
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 200
-- training_steps: 500
+- lr_scheduler_warmup_steps: 500
+- training_steps: 800
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 4.4732        | 30.45 | 800  | 4.3761          | 22.5056 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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