Model save

README.md

@@ -1,13 +1,13 @@
----
-library_name: peft
-license: apache-2.0
-base_model: openai/whisper-large
-tags:
-- generated_from_trainer
-model-index:
-- name: lora-test
-  results: []
----
+---
+library_name: peft
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+model-index:
+- name: lora-test
+  results: []
+---
 
 <!-- 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. -->
@@ -34,11 +34,9 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 1
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
 - optimizer: Use OptimizerNames.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: 50
@@ -53,6 +51,6 @@ The following hyperparameters were used during training:
 
 - PEFT 0.14.1.dev0
 - Transformers 4.48.1
-- Pytorch 2.5.1
+- Pytorch 2.5.1+cu124
 - Datasets 3.2.1.dev0
 - Tokenizers 0.21.0