distily_verify_compile

Summary

Distilled with Distily library using teacher model gpt2 on dataset wikimedia/wikipedia.

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. # Model description More information needed # Intended uses & limitations More information needed -->

Model Architecture:

• Architecture: GPT2LMHeadModel
• Total Parameters: 124,439,808
• Data Type (dtype): torch.bfloat16
• Model Size: 0.24 GB

Benchmark Metrics Comparison

| Metric | | | :--- |

Resource Usage Comparison

• VRAM Use: 7.4923 GB

Distillation (Teacher -> Student) Architecture Difference:

• Architecture: GPT2LMHeadModel -> GPT2LMHeadModel
• Total Parameters: 124,439,808 -> 124,439,808
• Data Type (dtype): torch.bfloat16 -> torch.bfloat16
• Model Size: 0.24 GB -> 0.24 GB

<details> <summary>Module Diff Details</summary>

</details> <br/>

Train Dataset

Trained on 3,223,855 tokens from the wikimedia/wikipedia dataset.

• Num Samples: 3,960
• Subset: 20231101.en
• Split: train

Training Objective

DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl))

Hyperparameters

The following hyperparameters were used during training:

<details> <summary>Expand</summary>

• learning_rate: 0.0001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 1.0
• distillation_objective: DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl))
• train_embeddings: True
• lr_scheduler: <torch.optim.lr_scheduler.LambdaLR object at 0x7fd25af72440>
• student_model_name_or_path: None
• student_config_name_or_path: None
• student_model_config: None
• reinitialize_weights: None
• copy_teacher_modules: [('lm_head', False)]
• student_model_as_bitnet: False
• dropout: None
• teacher_model_name_or_path: gpt2
• teacher_load_in_8bit: False
• teacher_load_in_4bit: False
• dataset_uri: wikimedia/wikipedia
• dataset_subset: 20231101.en
• dataset_split: train
• dataset_column_name: text
• dataset_sample_size: 4000
• dataset_test_size: 0.01
• gradient_accumulation_steps: 1
• weight_decay: 0.0
• max_grad_norm: 1.0
• warmup_ratio: 0.2
• warmup_steps: 0
• gradient_checkpointing: True

</details> <br/>

Framework Versions

• Distily 0.3.0
• Transformers 4.44.2
• Pytorch 2.3.0
• Datasets 2.21.0