|
--- |
|
library_name: transformers |
|
license: other |
|
base_model: mistralai/Ministral-8B-Instruct-2410 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: reflectNonGenCrtc_om2_Mini8bT0MstrllrgT12-460k_OrmCritic |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# reflectNonGenCrtc_om2_Mini8bT0MstrllrgT12-460k_OrmCritic |
|
|
|
This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co./mistralai/Ministral-8B-Instruct-2410) 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-06 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 64 |
|
- total_train_batch_size: 256 |
|
- total_eval_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.3 |
|
|
