metadata
library_name: transformers
license: apache-2.0
base_model: Locutusque/TinyMistral-248M-v2.5-Instruct
tags:
- generated_from_trainer
model-index:
- name: Chesser-248K-Mini
results: []
Chesser-248K-Mini
This model is a fine-tuned version of Locutusque/TinyMistral-248M-v2.5-Instruct 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch_fused 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
Framework versions
- Transformers 4.55.2
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.4