normistral11b-mntp-nbwiki
This model is a fine-tuned version of norallm/normistral-11b-long 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.19.1
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Model tree for zrmarine/normistral11b-mntp-nbwiki
Base model
mistralai/Mistral-Nemo-Base-2407 Quantized
norallm/normistral-11b-warm Finetuned
norallm/normistral-11b-long