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Mistral-7B-v0.1_openwebtext_sparse_pretraining
thrunlab/Mistral-7B-v0.1_openwebtext_sparse_pretraining
Mistral-7B-v0.1_openwebtext_sparse_pretraining is a machine learning model from thrunlab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Updated Feb 4, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Feb 4, 2024
- Updated
- Feb 4, 2024
- SHA
- bf5a24fd
Base models
Datasets
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. -->
Mistral-7B-v0.1_openwebtext_sparse_pretraining
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the openwebtext dataset. It achieves the following results on the evaluation set:
- Loss: 1.7715
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 2
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Feb 4, 2024
- Updated
- Feb 4, 2024