End of training

README.md

@@ -75,7 +75,7 @@ More information needed
 <br/>
 
 # Train Dataset
-Trained on 3,216,889 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
+Trained on 3,223,855 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
 
 - Num Samples: `3,960`
 - Subset: `20231101.en`
@@ -102,7 +102,7 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: `polynomial`
 - 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=5, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=orthogonal))`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7faed2dc8310>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7faece9c1bd0>`
 - student_model_name_or_path: `None`
 - student_config_name_or_path: `distilbert/distilgpt2`
 - student_model_config: `None`

logs/attn_norm=layernorm, attn_projector=orthogonal, attn_weight=5, extra_grad_stats=False, learning_rate=0.0001, per_device_train_batch_size=8, warmup_ratio=0/events.out.tfevents.1725378521.cfb07cadeb51

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