optimum-neuron-cache
/
neuronxcc-2.14.227.0+2d4f85be
/0_REGISTRY
/0.0.24
/training
/bert
/prajjwal1
/bert-tiny
/2b888ac9b4eacc176b08.json
{"attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "initializer_range": 0.02, "intermediate_size": 512, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"compiler_version": "2.14.227.0+2d4f85be", "input_specs": {"attention_mask": [1, 512], "input_ids": [1, 512], "labels": [1, 512], "token_type_ids": [1, 512]}, "model_class": "BertForMaskedLM", "num_neuron_cores_per_node": 32, "pipeline_parallel_size": 1, "precision": "bfloat16", "tensor_parallel_size": 1, "training": true}, "num_attention_heads": 2, "num_hidden_layers": 2, "pad_token_id": 0, "position_embedding_type": "absolute", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522} |