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Model Card: my-glm-demo
Training Hyperparameters
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Model Architecture (from config.json)
- Model Type: bert
- Architectures: BertForMaskedLM
- Hidden Size: 768
- Num Hidden Layers: 12
- Num Attention Heads: 12
- Intermediate Size: 3072
- Max Position Embeddings: 512
- Hidden Activation: gelu
- Attention Dropout: 0.1
- Hidden Dropout: 0.1
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