Upload ScriptableLMForPreTraining
Browse files- config.json +70 -0
- pytorch_model.bin +3 -0
config.json
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{
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"arch": {
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"architectures": [
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"ScriptableMaskedLM"
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],
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"attention": {
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"causal_attention": false,
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"dropout_prob": 0.1,
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"high_level_fusion": false,
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"low_level_fusion": true,
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"num_attention_heads": 12,
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"qkv_bias": false,
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"rotary_embedding": false,
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"seq_op_in_fp32": false,
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"sequence_op": "torch-softmax",
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"skip_output_projection": false,
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"type": "flash-attention-impl"
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},
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"classification_head": {
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"classifier_dropout": 0.1,
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"head_dim": 1024,
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"include_ff_layer": true,
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"nonlin": "Tanh",
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"pooler": "zero_index"
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},
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"decoder_bias": false,
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"deepnorm_scaling": false,
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"embedding": {
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"dropout_prob": 0.1,
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"embedding_dim": 768,
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"max_seq_length": 128,
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"normalization": true,
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"pad_token_id": 0,
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"pos_embedding": "learned",
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"vocab_size": 32768
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},
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"ffn_layer_frequency": 1,
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"final_norm": true,
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"gradient_checkpointing": false,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"init": {
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"std": 0.02,
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"type": "normal"
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},
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"intermed_size": 3072,
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"layer_drop_theta": null,
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"layer_fusion": true,
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"layer_macro_type": "transformer",
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"loss": "cross-entropy",
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"nonlin": "GELUglu",
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"norm": "LayerNorm",
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"norm_eps": 1e-12,
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"norm_scheme": "pre",
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"num_labels": null,
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"num_transformer_layers": 16,
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"recurrent_layers": null,
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"skip_head_transform": true,
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"sparse_prediction": true,
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"tie_weights": true,
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"use_bias": false,
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"z_loss_factor": 0
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},
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"architectures": [
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"ScriptableLMForPreTraining"
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],
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"model_type": "crammedBERT",
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"torch_dtype": "float32",
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"transformers_version": "4.26.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:78f2a16f83aaf52b9522cf59f515fd6ddb9d9cd9eb9a94fb48730e59a7612967
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size 481161743
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