google-bert/bert-base-uncased
Original109.5Mparameters
Fixture2.1Mparameters
Layer stacks1compared
Findings0to review
✓ Same architecture, smaller
Every module class, layer kind and checked property of the original is in the fixture.
Layer stacks
One square per layer, colored by kind: the layer's module classes and type attributes. Hover a square for its index and kind.
bert.encoder.layer
Original · 12
Fixture · 2
| Kind | Original | Fixture | |
|---|---|---|---|
| Layer | 12 | 2 | ✓ kept |
Where the parameters are
Share of each model's parameters per component. Vocabulary and patch sizes are kept, so embeddings usually take a larger share of the fixture.
Original
Fixture
| Component | Original | Share | Fixture | Share |
|---|---|---|---|---|
| bert.encoder.layer | 85.1M | 77.7% | 66.9K | 3.2% |
| bert.embeddings | 23.8M | 21.8% | 2.0M | 95.1% |
| cls.predictions | 622.6K | 0.6% | 34.8K | 1.7% |
Preserved properties
| Config | Property | Original | Fixture | |
|---|---|---|---|---|
| model | model_type | bert | bert | ✓ kept |
| model | vocab_size | 30522 | 30522 | ✓ kept |
| model | tie_word_embeddings | True | True | ✓ kept |
| model | hidden_act | gelu | gelu | ✓ kept |
| model | max_position_embeddings | 512 | 512 | ✓ kept |
Module classes
Instances of each class in the built model (prefix Bert omitted).
| Class | Original | Fixture |
|---|---|---|
| Linear | 74 | 14 |
| Dropout | 37 | 7 |
| LayerNorm | 26 | 6 |
| GELUActivation | 13 | 3 |
| Attention | 12 | 2 |
| Intermediate | 12 | 2 |
| Layer | 12 | 2 |
| Output | 12 | 2 |
| SelfAttention | 12 | 2 |
| SelfOutput | 12 | 2 |
| Embedding | 3 | 3 |
| Embeddings | 1 | 1 |
| Encoder | 1 | 1 |
| ForMaskedLM | 1 | 1 |
| LMPredictionHead | 1 | 1 |
| Model | 1 | 1 |
| OnlyMLMHead | 1 | 1 |
| PredictionHeadTransform | 1 | 1 |
| ModuleList | 1 | 1 |
Config changes
4 fields changed, 27 unchanged.
| Field | Original | Fixture |
|---|---|---|
| hidden_size | 768 | 64 |
| intermediate_size | 3072 | 128 |
| num_attention_heads | 12 | 4 |
| num_hidden_layers | 12 | 2 |