Adds README File

README.md

@@ -1,3 +1,62 @@
----
-license: mit
----
+---
+language:
+- ak
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- UGSPEECHDATA
+model-index:
+- name: Whisper Small Ak - Sumaya Ahmed Salihs
+  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 Tiny Ak - Sumaya Ahmed Salihs
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the openai/whisper-tiny dataset.
+It achieves the following results on the evaluation set:
+WER: 0.322 - (32%)
+- eval_loss: 
+- eval_runtime: 
+- eval_wer: 
+- eval_samples_per_second: 
+- eval_steps_per_second: 
+- step: 
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-5
+- train_batch_size: 
+- eval_batch_size: 
+- seed: 
+- optimizer: Adam with betas=(0.9,0.999) and epsilon= 5e-5
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 
+- training_steps: 
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1