Training in progress, step 198000

README.md

@@ -44,7 +44,7 @@ More information needed
 
 # Resource Usage Comparison
 
-- VRAM Use: 7.4154 GB
+- VRAM Use: 7.4173 GB
 
 # Distillation (Teacher -> Student) Architecture Difference:
 
@@ -85,7 +85,7 @@ Trained on 226,096,614 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, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=mlp))
+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))
 ```
 
 # Hyperparameters
@@ -101,9 +101,9 @@ The following hyperparameters were used during training:
 - optimizer: `Adam with betas=(0.9,0.999) and epsilon=1e-08`
 - 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=25, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm, projector=mlp))`
+- 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 0x7f6d90364a90>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7f0089835f00>`
 - student_model_name_or_path: `None`
 - student_config_name_or_path: `distilbert/distilgpt2`
 - student_model_config: `None`
@@ -133,6 +133,6 @@ The following hyperparameters were used during training:
 
 # Framework Versions
 - Distily 0.4.1
-- Transformers 4.44.2
-- Pytorch 2.3.0
+- Transformers 4.44.1
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0

config.json

@@ -40,7 +40,7 @@
     }
   },
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.44.2",
+  "transformers_version": "4.44.1",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.44.1"
 }

logs/attn_norm=layernorm, attn_projector=orthogonal, attn_weight=25, learning_rate=0.0001, per_device_train_batch_size=2, warmup_ratio=0/events.out.tfevents.1725112132.e3f806ea38c9

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b5db12d574bf1e91a667d20a7f65eb5177980389d423efb898ae6a067f9606d5
-size 253
+oid sha256:3decfa2fe66b4ed78b6622fe213caff3881b1347b7dea62d3a377d0120d13206
+size 529

logs/attn_norm=layernorm, attn_projector=orthogonal, attn_weight=25, learning_rate=0.0002, per_device_train_batch_size=2, warmup_ratio=0/events.out.tfevents.1725112273.e3f806ea38c9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0a3cb22ad3b5dbf48a0550f6006fcdde9b7845459e01215c93dbe6ac01cf109
+size 95114836

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d9d8e293fac6fc8cb2693ff63b5bbfc9da1b02e34be527442cf20ad69478865
+oid sha256:421589925f46c47bd4fac3e0c544020f533156de97464f33dec65b46abe80106
 size 163832792

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3590c112b4c6c928c906f373b7fe7aeb06e68741680f5bd8979abd2d1765ff7
+oid sha256:64bc9eb533404d092c5e41049013bf9968efd4006f0ea21fcc509c64259f49bd
 size 5560