End of training

README.md

@@ -41,7 +41,8 @@ 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
-- training_steps: 20
+- lr_scheduler_warmup_steps: 100
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -51,6 +52,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.36.0.dev0
-- Pytorch 2.0.0
-- Datasets 2.1.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
 - Tokenizers 0.15.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "openai/whisper-small",
+  "_name_or_path": "cantillation/whisper-small-he-teamim5",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,

model.safetensors

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runs/Nov30_11-46-45_5cf3b4f8cfa8/events.out.tfevents.1701344812.5cf3b4f8cfa8.313.0

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training_args.bin

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