Clean config: remove runtime fields, add _init_weights no-op
Browse files- README.md +15 -15
- config.json +0 -4
README.md
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@@ -3,22 +3,22 @@ license: apache-2.0
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library_name: transformers
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language: en
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tags:
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model-index:
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---
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# iterativebert-base
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library_name: transformers
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language: en
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tags:
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- tiner
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- iterative-bert
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- encoder
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- pytorch
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model-index:
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- name: iterativebert-base
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results:
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- task:
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type: fill-mask
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dataset:
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name: MBZUAI-LLM/SlimPajama-627B-DC
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type: MBZUAI-LLM/SlimPajama-627B-DC
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metrics:
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- type: loss
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value: 5.0599
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name: Loss
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---
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# iterativebert-base
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config.json
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"architectures": [
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"IterativeBert"
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],
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"attn_implementation": "flash_attention_2",
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"conv_kernel_size": 2,
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"dropout_attn_output": 0.1,
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"dropout_attn_weights": 0.0,
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"l_step_rope_base": 10000.0,
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"l_step_use_conv": true,
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"layer_norm_eps": 1e-12,
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"liger_fused_rmsnorm": true,
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"liger_fused_rope": false,
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"liger_fused_swiglu": true,
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"max_position_embeddings": 2048,
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"model_type": "iterative_bert",
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"norm_type": "layernorm",
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"architectures": [
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"IterativeBert"
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],
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"conv_kernel_size": 2,
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"dropout_attn_output": 0.1,
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"dropout_attn_weights": 0.0,
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"l_step_rope_base": 10000.0,
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"l_step_use_conv": true,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"model_type": "iterative_bert",
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"norm_type": "layernorm",
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