End of training

README.md

@@ -72,7 +72,7 @@ More information needed
 
 # Resource Usage Comparison
 
-- VRAM Use: 8.2920 GB
+- VRAM Use: 7.7861 GB
 
 # Distillation (Teacher -> Student) Architecture Difference:
 
@@ -92,7 +92,7 @@ More information needed
 <br/>
 
 # Train Dataset
-Trained on 145,724,804 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
+Trained on 145,724,337 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
 
 - Num Samples: `247,500`
 - Subset: `20231101.en`
@@ -102,7 +102,7 @@ Trained on 145,724,804 tokens from the [wikimedia/wikipedia](https://huggingface
 # Training Objective
 
 ```
-DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25.0, loss_fn=logsum, layer_mapper=all, projector=miles))
+DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=25.0, loss_fn=logsum_v2, layer_mapper=all, projector=miles))
 ```
 
 # Hyperparameters
@@ -119,9 +119,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: `cosine_with_min_lr`
 - lr_scheduler_warmup_ratio: `0.5`
 - 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=logsum, layer_mapper=all, projector=miles))`
+- 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=logsum_v2, layer_mapper=all, projector=miles))`
 - train_embeddings: `True`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f6927719540>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7faed8466410>`
 - student_model_name_or_path: `None`
 - student_config_name_or_path: `None`
 - student_model_config: `None`