Rafaelrosendo1/Large-v3

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Rafaelrosendo1/whisper-large-pt](https://huggingface.co/Rafaelrosendo1/whisper-large-pt) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2627
-- Wer: 23.2194
+- Loss: 0.2494
+- Wer: 23.0283
 
 ## Model description
 
@@ -37,7 +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: 32
 - eval_batch_size: 8
 - seed: 42
@@ -46,15 +46,13 @@ 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: 1000
-- training_steps: 6000
+- training_steps: 9000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0038        | 4.76  | 2000 | 0.2440          | 22.8608 |
-| 0.0021        | 9.51  | 4000 | 0.2568          | 23.1314 |
-| 0.0023        | 14.27 | 6000 | 0.2627          | 23.2194 |
+| 0.0038        | 21.4  | 9000 | 0.2494          | 23.0283 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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