Model save

README.md

@@ -1,11 +1,11 @@
 ---
-license: apache-2.0
-library_name: peft
-tags:
-- generated_from_trainer
 base_model: openai/whisper-tiny
 datasets:
 - common_voice_16_1
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
 model-index:
 - name: whisper-tiny-finetuned
   results: []
@@ -14,17 +14,11 @@ model-index:
 <!-- 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. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/keviinkibe/huggingface/runs/emjrlbx8)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/keviinkibe/huggingface/runs/emjrlbx8)
 # whisper-tiny-finetuned
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_1 dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 2.1805
-- eval_wer: 163.6364
-- eval_runtime: 8.1444
-- eval_samples_per_second: 0.491
-- eval_steps_per_second: 0.123
-- epoch: 49.02
-- step: 50
 
 ## Model description
 
@@ -43,19 +37,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 50
+- training_steps: 10
 - mixed_precision_training: Native AMP
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.39.2
+- PEFT 0.11.1
+- Transformers 4.42.3
 - Pytorch 2.2.2+cu121
-- Datasets 2.17.0
-- Tokenizers 0.15.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1