End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: openai/whisper-base
+base_model: darinchau/checkpoints
 tags:
 - generated_from_trainer
 model-index:
@@ -13,15 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # checkpoints
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+This model is a fine-tuned version of [darinchau/checkpoints](https://huggingface.co/darinchau/checkpoints) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.4101
-- eval_cer: 44.0816
-- eval_runtime: 15.0235
-- eval_samples_per_second: 3.328
-- eval_steps_per_second: 0.266
-- epoch: 39.06
-- step: 1250
+- eval_loss: 0.8289
+- eval_cer: 79.9622
+- eval_runtime: 31.6459
+- eval_samples_per_second: 3.16
+- eval_steps_per_second: 0.221
+- epoch: 35.11
+- step: 3300
 
 ## Model description
 
@@ -46,7 +46,7 @@ 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: 1000
+- lr_scheduler_warmup_steps: 500
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6da2615a9fa969ce03787d69953972662b90e20c62b7bf628459680fc985ef8c
 size 290403936