End of training

README.md

@@ -95,7 +95,7 @@ The following hyperparameters were used during training:
 - num_epochs: `1.0`
 - distillation_objective: `DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25.0, loss_fn=raw_mse, layer_mapper=layer-2, projector=orthogonal))`
 - train_embeddings: `True`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f4fec89fb80>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f4fc8470190>`
 - student_model_name_or_path: `None`
 - student_config_name_or_path: `None`
 - student_model_config: `None`
@@ -114,7 +114,7 @@ The following hyperparameters were used during training:
 - dataset_test_size: `0.01`
 - gradient_accumulation_steps: `1`
 - weight_decay: `0.0`
-- max_grad_norm: `100`
+- max_grad_norm: `1.0`
 - warmup_ratio: `0.5`
 - warmup_steps: `0`
 - gradient_checkpointing: `True`