End of training

README.md

@@ -21,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the wr_ds dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0903
-- Cer: 9.2605
+- Loss: 0.4690
+- Cer: 32.7677
 
 ## Model description
 
@@ -41,24 +41,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.001
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- training_steps: 2600
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step | Validation Loss | Cer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0486        | 3.8462  | 1000 | 0.1159          | 7.9222  |
-| 0.0034        | 7.6923  | 2000 | 0.0927          | 11.2435 |
-| 0.0015        | 11.5385 | 3000 | 0.0906          | 10.8821 |
-| 0.0012        | 15.3846 | 4000 | 0.0903          | 9.2605  |
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.7558        | 3.8462 | 1000 | 1.0555          | 65.3794 |
+| 0.0785        | 7.6923 | 2000 | 0.4690          | 32.7677 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 290403936