update model card README.md

README.md

@@ -1,9 +1,6 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- tamil_asr_corpus
 model-index:
 - name: whisper-small-ta
   results: []
@@ -14,7 +11,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-ta
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the tamil_asr_corpus dataset.
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2579
+- eval_wer: 23.3804
+- eval_runtime: 106.1916
+- eval_samples_per_second: 0.942
+- eval_steps_per_second: 0.066
+- epoch: 0.1
+- step: 500
 
 ## Model description
 
@@ -34,9 +39,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 64
-- eval_batch_size: 32
+- train_batch_size: 32
+- eval_batch_size: 16
 - seed: 42
+- gradient_accumulation_steps: 2
+- 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: 500
@@ -46,6 +53,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.26.0.dev0
-- Pytorch 1.13.0+cu116
-- Datasets 2.7.1.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
 - Tokenizers 0.13.2