End of training

README.md

@@ -94,7 +94,7 @@ The following hyperparameters were used during training:
 <details>
 <summary>Expand</summary>
 
-- learning_rate: `0.0001`
+- learning_rate: `0.0002`
 - train_batch_size: `4`
 - eval_batch_size: `8`
 - seed: `42`
@@ -104,7 +104,7 @@ 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, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=orthogonal))`
 - train_embeddings: `True`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f057c55a9b0>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f057061e860>`
 - 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=25, learning_rate=0.0002, per_device_train_batch_size=4, warmup_ratio=0.2/events.out.tfevents.1725079806.23668649e3db

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8434e213b16a506b5b0c48eb4fe3c924f8cbdd788551ca9d9180c6da0d4130fa
+size 529