metadata
license: other
base_model: models/tinyllama-rubra-2
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: sft
results: []
sft
This model is a fine-tuned version of models/tinyllama-rubra-2 on the test_data2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6112
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1