Mistral-Nemo-Instruct-2407-finetuned-squad
This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 20.5636
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
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 2 | 22.0425 |
No log | 2.0 | 4 | 21.0053 |
No log | 3.0 | 6 | 20.5636 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 15
Model tree for jeanfmac/Mistral-Nemo-Instruct-2407-finetuned-squad
Base model
mistralai/Mistral-Nemo-Base-2407
Finetuned
mistralai/Mistral-Nemo-Instruct-2407