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base_LLM_CAC_D_200M
VTSNLP/base_LLM_CAC_D_200M
base_LLM_CAC_D_200M is a machine learning model from VTSNLP. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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183M
1.5 GB on disk
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At a glance
- Model type
- mpt
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Oct 1, 2024
- SHA
- 24a370ad
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
base_LLM_CAC_D_200M
This model is a fine-tuned version of wanderer2k1/base_LLM_183MB_chunk_and_concat_w_domain on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3.6e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- mpt
- Created
- Sep 30, 2024
- Updated
- Oct 1, 2024