End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 language:
-- fr
+- wo
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
@@ -11,7 +11,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Small WO - Team
+- name: Whisper small Wolof
   results:
   - task:
       name: Automatic Speech Recognition
@@ -23,18 +23,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 91.83835755078435
+      value: 57.521867996819196
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Small WO - Team
+# Whisper small Wolof
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ASR Wolof Dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8870
-- Wer: 91.8384
+- Loss: 1.1153
+- Wer: 57.5219
 
 ## Model description
 
@@ -60,17 +60,15 @@ 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: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.8252        | 1.5385 | 1000 | 0.9188          | 196.5264 |
-| 0.426         | 3.0769 | 2000 | 0.8413          | 126.6049 |
-| 0.3404        | 4.6154 | 3000 | 0.8577          | 104.8345 |
-| 0.2588        | 6.1538 | 4000 | 0.8870          | 91.8384  |
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0469        | 1.5385 | 1000 | 1.0919          | 59.6002 |
+| 0.008         | 3.0769 | 2000 | 1.1153          | 57.5219 |
 
 
 ### Framework versions