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data:
type: triplets
TRAIN_DATA_DIR: /home/user/Projects/SPLADE-PT-BR/splade/data/pt/triplets
VALIDATION_DATA_DIR: /home/user/Projects/SPLADE-PT-BR/splade/data/pt/val_retrieval
QREL_PATH: /home/user/Projects/SPLADE-PT-BR/splade/data/pt/val_retrieval/qrel.json
train:
model:
_target_: splade.models.transformer_rep.Splade
model_type_or_dir: neuralmind/bert-base-portuguese-cased
config:
lr: 2.0e-05
seed: 123
gradient_accumulation_steps: 4
weight_decay: 0.01
validation_metrics:
- MRR@10
pretrained_no_yaml_config: false
nb_iterations: 150000
train_batch_size: 8
eval_batch_size: 16
index_retrieval_batch_size: 16
record_frequency: 1000
train_monitoring_freq: 500
warmup_steps: 6000
max_length: 256
fp16: true
matching_type: splade
monitoring_ckpt: true
tokenizer_type: neuralmind/bert-base-portuguese-cased
loss: InBatchPairwiseNLL
checkpoint_dir: experiments/pt/checkpoint
index_dir: experiments/pt/index
out_dir: experiments/pt/out
regularization:
FLOPS:
lambda_q: 0.0003
lambda_d: 0.0001
T: 50000
index: {}
retrieve_evaluate: {}
flops: {}
init_dict:
model_type_or_dir: neuralmind/bert-base-portuguese-cased
fp16: true
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