End of training

README.md

@@ -18,6 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Hi - hjozi
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3227
+- eval_wer: 39.1010
+- eval_runtime: 1550.657
+- eval_samples_per_second: 1.866
+- eval_steps_per_second: 0.233
+- epoch: 0.2445
+- step: 100
 
 ## Model description
 
@@ -42,8 +50,8 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- lr_scheduler_warmup_steps: 100
+- training_steps: 400
 - mixed_precision_training: Native AMP
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5284fac10a4a2b93797b2a60c2eeb0e907a8b70a0bcc9f76511dd708bfaa5c7d
+oid sha256:4f4a0c582cb703d68639e95ba4170930e13ca5d73a363928dcf85a59e69ce0ab
 size 966995080