metadata
base_model: gpt2
datasets:
- wikimedia/wikipedia
library_name: Distily
license: mit
tags:
- bitnet
- 1.58b
- generated_from_trainer
model-index:
- name: distily_projector_experiment
results: []
Summary
Distilled with Distily library using teacher model gpt2 on dataset wikimedia/wikipedia.
Model Architecture:
- Architecture:
GPT2LMHeadModel - Total Parameters: 124,439,808
- Data Type (dtype): torch.bfloat16
- Model Size: 0.24 GB
Evaluation Metrics Comparison
| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
|---|---|---|---|---|---|---|---|---|---|
| teacher eval | 43.25 | 61.25 | 11.6875 | 19.125 | |||||
| 0 | 0 | 2473901162496.0 | 170424302305280.0 | 22.0554 | 29.7695 | 83.978 | 10.514 | 4060086272.0 | 71468255805440.0 |
| 2500 | 0.0404 | 744.0 | 5792.0 | 2.6072 | 29.8269 | 83.817 | 10.494 | 450.0 | 4192.0 |
| 5000 | 0.0808 | 316.0 | 1408.0 | 1.9087 | 29.8408 | 83.778 | 10.489 | 237.0 | 300.0 |
| 7500 | 0.1212 | 221.0 | 776.0 | 1.6174 | 29.8221 | 83.83 | 10.496 | 180.0 | 175.0 |
| 10000 | 0.1616 | 165.0 | 616.0 | 1.4278 | 29.8115 | 83.86 | 10.499 | 144.0 | 150.0 |
| 12500 | 0.2020 | 124.5 | 484.0 | 1.1898 | 29.8065 | 83.874 | 10.501 | 107.0 | 146.0 |
| 15000 | 0.2424 | 108.0 | 452.0 | 1.0632 | 29.7962 | 83.903 | 10.505 | 92.5 | 109.0 |
| 17500 | 0.2828 | 91.5 | 352.0 | 0.9642 | 29.7907 | 83.919 | 10.507 | 75.5 | 119.0 |
| 20000 | 0.3232 | 79.0 | 302.0 | 0.8892 | 29.8022 | 83.886 | 10.503 | 68.0 | 688.0 |
| 22500 | 0.3636 | 72.5 | 236.0 | 0.7640 | 29.8032 | 83.883 | 10.502 | 59.0 | 90.5 |
| 25000 | 0.4040 | 68.0 | 202.0 | 0.7181 | 29.8737 | 83.686 | 10.477 | 51.75 | 85.5 |
| 27500 | 0.4444 | 63.75 | 223.0 | 0.6853 | 29.8142 | 83.853 | 10.498 | 48.0 | 99.0 |
| 30000 | 0.4848 | 63.5 | 214.0 | 0.6791 | 29.8122 | 83.858 | 10.499 | 50.75 | 76.5 |
| 32500 | 0.5253 | 64.0 | 194.0 | 0.6660 | 29.794 | 83.91 | 10.505 | 46.75 | 96.5 |
| 35000 | 0.5657 | 60.25 | 176.0 | 0.6075 | 29.8902 | 83.639 | 10.472 | 41.5 | 62.25 |
| 37500 | 0.6061 | 60.5 | 169.0 | 0.5942 | 29.8616 | 83.72 | 10.482 | 43.5 | 78.5 |
| 40000 | 0.6465 | 57.5 | 176.0 | 0.5808 | 29.8082 | 83.87 | 10.5 | 39.5 | 80.5 |
| 42500 | 0.6869 | 58.0 | 172.0 | 0.5602 | 29.7977 | 83.899 | 10.504 | 40.0 | 58.75 |
| 45000 | 0.7273 | 52.5 | 145.0 | 0.4723 | 29.7887 | 83.924 | 10.507 | 34.25 | 47.0 |
| 47500 | 0.7677 | 52.75 | 135.0 | 0.4507 | 29.7668 | 83.986 | 10.515 | 33.5 | 41.25 |
| 50000 | 0.8081 | 51.25 | 133.0 | 0.4370 | 29.7994 | 83.894 | 10.504 | 31.875 | 39.75 |
| 52500 | 0.8485 | 49.75 | 127.5 | 0.4272 | 29.7762 | 83.96 | 10.512 | 32.25 | 38.0 |
| 55000 | 0.8889 | 49.25 | 126.5 | 0.4130 | 29.814 | 83.853 | 10.498 | 31.25 | 35.5 |
| 57500 | 0.9293 | 48.5 | 125.0 | 0.4079 | 29.7893 | 83.923 | 10.507 | 30.625 | 34.25 |
| 60000 | 0.9697 | 48.75 | 123.5 | 0.4046 | 29.8263 | 83.819 | 10.494 | 30.625 | 34.75 |
| 61875 | 1.0 | 48.75 | 124.0 | 0.4043 | 29.85 | 83.752 | 10.486 | 30.625 | 34.5 |
Resource Usage Comparison
- VRAM Use: 7.7843 GB
`# Distillation (Teacher -> Student) Architecture Difference:
- Architecture:
GPT2LMHeadModel->GPT2LMHeadModel - Total Parameters: 124,439,808 -> 124,439,808
- Data Type (dtype): 124439808 -> torch.bfloat16
- Model Size: 0.24 GB -> 0.24 GB
Module Diff Details
Train Dataset
Trained on 145,744,973 tokens from the wikimedia/wikipedia dataset.
- Num Samples:
247,500 - Subset:
20231101.en - Split:
train
Training Objective
DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=10.0, loss_fn=raw_mse, layer_mapper=layer-2))
Hyperparameters
The following hyperparameters were used during training:
Expand
- 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:
linear - lr_scheduler_warmup_ratio:
0.5 - 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=10.0, loss_fn=raw_mse, layer_mapper=layer-2)) - train_embeddings:
True - lr_scheduler:
<torch.optim.lr_scheduler.LambdaLR object at 0x7f010c128160> - 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:
True - student_model_compile:
False - dropout:
None - teacher_model_name_or_path:
gpt2 - teacher_load_in_8bit:
False - teacher_load_in_4bit:
False - teacher_model_compile:
False - dataset_uri:
wikimedia/wikipedia - dataset_subset:
20231101.en - dataset_split:
train - dataset_column_name:
text - dataset_sample_size:
250000 - dataset_test_size:
0.01 - gradient_accumulation_steps:
1 - weight_decay:
0.0 - max_grad_norm:
1.0 - warmup_ratio:
0.5 - warmup_steps:
0 - gradient_checkpointing:
True
Framework Versions
- Distily 0.2.0
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0