End of training

README.md

@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - 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
-- num_epochs: 15
+- num_epochs: 55
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -52,5 +52,4 @@ The following hyperparameters were used during training:
 
 - Transformers 4.47.1
 - Pytorch 2.5.1+cu121
-- Datasets 3.2.0
 - Tokenizers 0.21.0

runs/Jan01_01-54-22_94418b45eee1/events.out.tfevents.1735696468.94418b45eee1.195.0

@@ -1,3 +1,3 @@
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-size 16903
+oid sha256:570eeb8da23c248021f6c6c0c46ebfe2e900accfd19a1cee0cc034842d8e0f05
+size 17257