| { | |
| "_name_or_path": "jimypbr/bert-base-uncased-squad", | |
| "architectures": [ | |
| "BertForQuestionAnswering" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "device_iterations": 2, | |
| "embedding_serialization_factor": 0, | |
| "enable_half_first_order_momentum": true, | |
| "enable_half_partials": true, | |
| "executable_cache_dir": "./exe_cache", | |
| "gradient_accumulation_steps": 16, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "inference_device_iterations": 4, | |
| "inference_replication_factor": 4, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "ipus_per_replica": 4, | |
| "layer_norm_eps": 1e-12, | |
| "layers_per_ipu": [ | |
| 0, | |
| 4, | |
| 4, | |
| 4 | |
| ], | |
| "matmul_proportion": [ | |
| 0.25, | |
| 0.2, | |
| 0.2, | |
| 0.25 | |
| ], | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "optimizer_state_offchip": false, | |
| "optimum_version": "0.1.2", | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "profile_dir": null, | |
| "recompute_checkpoint_every_layer": true, | |
| "replicated_tensor_sharding": true, | |
| "replication_factor": 4, | |
| "seed": null, | |
| "synthetic_data": false, | |
| "torch_dtype": "int8", | |
| "transformers_version": "4.21.0.dev0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "use_popdist": false, | |
| "vocab_size": 30522 | |
| } | |