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  1. README.md +12 -0
  2. config.json +47 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ # Fine-tuned ModernBERT
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+
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+ This is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) for contrastive learning.
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+
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+ ## Model description
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+ [Add details about your fine-tuning process, dataset, and intended use case]
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+
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+ ## Training procedure
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+ [Describe your training procedure, hyperparameters, etc.]
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+
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+ ## Evaluation results
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+ [Share any evaluation metrics or results]
config.json ADDED
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+ {
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+ "_name_or_path": "answerdotai/ModernBERT-base",
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+ "architectures": [
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+ "ModernBertModel"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 50281,
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+ "classifier_activation": "gelu",
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+ "classifier_bias": false,
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+ "classifier_dropout": 0.0,
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+ "classifier_pooling": "mean",
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+ "cls_token_id": 50281,
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+ "decoder_bias": true,
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+ "deterministic_flash_attn": false,
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+ "embedding_dropout": 0.0,
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+ "eos_token_id": 50282,
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+ "global_attn_every_n_layers": 3,
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+ "global_rope_theta": 160000.0,
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+ "gradient_checkpointing": false,
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+ "hidden_activation": "gelu",
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+ "hidden_size": 768,
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+ "initializer_cutoff_factor": 2.0,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1152,
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+ "layer_norm_eps": 1e-05,
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+ "local_attention": 128,
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+ "local_rope_theta": 10000.0,
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+ "max_position_embeddings": 512,
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+ "mlp_bias": false,
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+ "mlp_dropout": 0.0,
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+ "model_type": "modernbert",
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+ "norm_bias": false,
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+ "norm_eps": 1e-05,
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 22,
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+ "pad_token_id": 50283,
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+ "position_embedding_type": "absolute",
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+ "reference_compile": false,
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+ "repad_logits_with_grad": false,
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+ "sep_token_id": 50282,
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+ "sparse_pred_ignore_index": -100,
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+ "sparse_prediction": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.3",
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+ "vocab_size": 50368
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+ }
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8e41a82dfc82ae45e1ae3a7c6d9cd129f357e7c1030071dac90729f902f90130
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+ size 596070136