End of training

README.md

@@ -2,25 +2,25 @@
 language:
 - ar
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-base_model: openai/whisper-small
 metrics:
 - wer
 model-index:
-- name: Whisper Small ar
+- name: Whisper Small ar dataset correcte + faux
   results: []
 ---
 
 <!-- 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 ar
+# Whisper Small ar dataset correcte + faux
 
 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: 0.1937
-- Wer: 20.1923
+- Loss: 0.1514
+- Wer: 15.7407
 
 ## Model description
 
@@ -40,9 +40,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
@@ -53,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer     |
 |:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.0015        | 38.4615 | 1000 | 0.1937          | 20.1923 |
+| 0.0009        | 37.0370 | 1000 | 0.1514          | 15.7407 |
 
 
 ### Framework versions

runs/May29_19-12-12_c457d509584d/events.out.tfevents.1717009933.c457d509584d.2364.1

@@ -1,3 +1,3 @@
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-size 15320
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+size 15674