Views
No views yet
GPT2LMHeadModelGPT2LMHeadModel(
(transformer): GPT2Model(
(wte): Embedding(50257, 768)
(wpe): Embedding(1024, 768)
(drop): Dropout(p=0.1, inplace=False)
(h): ModuleList(
(0-5): 6 x GPT2Block(
(ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
(attn): GPT2FlashAttention2(
(c_attn): Conv1D()
(c_proj): Conv1D()
(attn_dropout): Dropout(p=0.1, inplace=False)
(resid_dropout): Dropout(p=0.1, inplace=False)
)
(ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
(mlp): GPT2MLP(
(c_fc): Conv1D()
(c_proj): Conv1D()
(act): NewGELUActivation()
(dropout): Dropout(p=0.1, inplace=False)
)
)
)
(ln_f): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
)
(lm_head): Linear(in_features=768, out_features=50257, bias=False)
)GPT2LMHeadModel -> GPT2LMHeadModel1--- teacher model modules
2+++ student model modules
3@@ -4,7 +4,7 @@
4 (wpe): Embedding(1024, 768)
5 (drop): Dropout(p=0.1, inplace=False)
6 (h): ModuleList(
7- (0-11): 12 x GPT2Block(
8+ (0-5): 6 x GPT2Block(
9 (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
10 (attn): GPT2FlashAttention2(
11 (c_attn): Conv1D()
123,96020231101.entrainDistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5.0, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm_teacher_only_affine, projector=orthogonal))0.000216842Adam with betas=(0.9,0.999) and epsilon=1e-08polynomial1.0DistillationObjective(logits_loss_component=LossComponent(label=logits, weight=1, loss_fn=kl), attn_loss_component=LossComponent(label=attn, weight=5.0, loss_fn=raw_mse, layer_mapper=layer-2, norm=layernorm_teacher_only_affine, projector=orthogonal))<torch.optim.lr_scheduler.LambdaLR object at 0x7feff1761870>Nonedistilbert/distilgpt2NoneNone[('lm_head', False)]Falsegpt2FalseFalsewikimedia/wikipedia20231101.entraintext40000.0110.01.00.00True