update model card README.md

README.md

@@ -14,13 +14,13 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.2507
-- eval_wer: 24.5943
-- eval_runtime: 48.432
-- eval_samples_per_second: 2.065
-- eval_steps_per_second: 0.268
-- epoch: 0.2
-- step: 6000
+- eval_loss: 0.2411
+- eval_wer: 23.0395
+- eval_runtime: 38.027
+- eval_samples_per_second: 2.63
+- eval_steps_per_second: 0.105
+- epoch: 0.05
+- step: 6500
 
 ## Model description
 
@@ -40,11 +40,9 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- train_batch_size: 64
+- eval_batch_size: 32
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1000
@@ -54,6 +52,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.13.0
+- Pytorch 1.13.0+cu117
 - Datasets 2.7.1.dev0
 - Tokenizers 0.13.2