Mistral-NeMo-Minitron-8B-Instruct-finetuned-squad-Nvidia-Nemo
This model is a fine-tuned version of nvidia/Mistral-NeMo-Minitron-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 17.6486
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 1 | 18.4509 |
No log | 2.0 | 2 | 17.9229 |
No log | 3.0 | 3 | 17.6486 |
Framework versions
- PEFT 0.14.1.dev0
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for jeanfmac/Mistral-NeMo-Minitron-8B-Instruct-finetuned-squad-Nvidia-Nemo
Base model
nvidia/Mistral-NeMo-Minitron-8B-Base
Finetuned
nvidia/Mistral-NeMo-Minitron-8B-Instruct