End of training

README.md

@@ -38,11 +38,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- total_train_batch_size: 32
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
@@ -52,6 +52,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.46.3
-- Pytorch 2.4.0
+- Pytorch 2.4.0+cpu
 - Datasets 3.1.0
 - Tokenizers 0.20.0

config.json

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

model.safetensors

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training_args.bin

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