metadata
base_model: liswei/OpenELM-1_1B-zh-cp
tags:
- llama-factory
- generated_from_trainer
model-index:
- name: OpenELM-1_1B-zh-sft
results: []
OpenELM-1_1B-zh-sft
This model is a fine-tuned version of liswei/OpenELM-1_1B-zh-cp on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3570
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: 12
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4543 | 0.3527 | 500 | 1.4672 |
| 1.3683 | 0.7053 | 1000 | 1.3570 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1