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mmlm-conv-4k
voidful/mmlm-conv-4k
mmlm-conv-4k is a machine learning model from voidful. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mmlm
- Access
- Public
- Created
- Dec 25, 2024
- Updated
- Dec 27, 2024
- SHA
- fec792d7
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. -->
mmlm-conv-training-full
This model is a fine-tuned version of 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 104
- gradient_accumulation_steps: 2
- total_train_batch_size: 208
- total_eval_batch_size: 104
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3500
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- mmlm
- Created
- Dec 25, 2024
- Updated
- Dec 27, 2024