Model save
Browse files- README.md +57 -0
- colbert_linear.pt +3 -0
- sparse_linear.pt +3 -0
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: 20250115-bge-m3-8192-bs-8-1-epoch-5e-6-hn-1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 20250115-bge-m3-8192-bs-8-1-epoch-5e-6-hn-1
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This model was trained from scratch on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.2
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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colbert_linear.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e525287a294a80d752693c672280f50c166e496d08f7d59612f3ebbc079a5556
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size 2100674
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sparse_linear.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8488ce4536caa5c41b5a6ea0bd3adae4f7a9361985c8bfbe8d67d7807769742
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size 3516
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