End of training

README.md

@@ -1,31 +1,28 @@
 ---
 language:
-- ar
-license: apache-2.0
-base_model: openai/whisper-large-v2
+- hi
+base_model: openai/whisper-largev2
 tags:
 - generated_from_trainer
-datasets:
-- custom
 model-index:
-- name: Whisper large ar - Ali
+- name: 'Whisper Small ar - Ali '
   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 large ar - Ali
+# Whisper Small ar - Ali 
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Custom 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-largev2](https://huggingface.co/openai/whisper-largev2) on the Ground truth 1 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6074
-- eval_wer: 53.0123
-- eval_runtime: 3174.2433
-- eval_samples_per_second: 1.024
-- eval_steps_per_second: 0.128
-- epoch: 6.0
-- step: 5490
+- eval_loss: 1.7677
+- eval_wer: 79.7688
+- eval_runtime: 12.142
+- eval_samples_per_second: 0.824
+- eval_steps_per_second: 0.165
+- epoch: 14.0
+- step: 84
 
 ## Model description
 
@@ -45,7 +42,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 32
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -55,7 +52,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.42.3
-- Pytorch 2.3.0+cu121
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -304,5 +304,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.4"
 }

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