metadata
base_model: mistralai/Mistral-Nemo-Instruct-2407
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: heat_transfer_sft_10000_mcq_u_1epoch
results: []
heat_transfer_sft_10000_mcq_u_1epoch
This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the heat_transfer_10000_mcq_u dataset. It achieves the following results on the evaluation set:
- Loss: 0.0018
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 20
- total_eval_batch_size: 20
- 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: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0076 | 0.1139 | 50 | 0.0059 |
| 0.0054 | 0.2278 | 100 | 0.0050 |
| 0.0041 | 0.3417 | 150 | 0.0036 |
| 0.0026 | 0.4556 | 200 | 0.0025 |
| 0.0025 | 0.5695 | 250 | 0.0024 |
| 0.0022 | 0.6834 | 300 | 0.0021 |
| 0.0022 | 0.7973 | 350 | 0.0019 |
| 0.0021 | 0.9112 | 400 | 0.0018 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1