End of training

README.md

@@ -78,7 +78,7 @@ GPT2LMHeadModel(
 
 # Resource Usage
 
-- Max Train VRAM Use: 15.7146 GB
+- Max Train VRAM Use: 15.7136 GB
 - Available VRAM: 23.6429 GB
 - GPUs: 
   - 1x NVIDIA GeForce RTX 4090
@@ -115,7 +115,7 @@ GPT2LMHeadModel(
 <br/>
 
 # Train Dataset
-Trained on 1,756,071,327 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
+Trained on 1,756,117,011 tokens from the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset.
 
 - Num Samples: `3,996,000`
 - Subset: `20231101.en`
@@ -149,7 +149,7 @@ The following hyperparameters were used during training:
 <details>
 <summary>Expand</summary>
 
-- learning_rate: `0.0002`
+- learning_rate: `0.0001`
 - train_batch_size: `16`
 - eval_batch_size: `8`
 - seed: `42`
@@ -172,7 +172,7 @@ The following hyperparameters were used during training:
         projector='orthogonal'
     )
 )`
-- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fbc60ceb9a0>`
+- lr_scheduler: `<torch.optim.lr_scheduler.LambdaLR object at 0x7fa151bbe3e0>`
 - student_model_name_or_path: `None`
 - student_config_name_or_path: `distilbert/distilgpt2`
 - student_model_config: `None`

logs/learning_rate=0.0001, lr_scheduler_type=constant_with_warmup, warmup_ratio=0/events.out.tfevents.1726071750.0b434856d812.1730.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a91d9815691d83e840135c4f449854b00ec2bea4639051fd7085da23bb9394c
+size 577