metadata
license: other
base_model: Qwen/Qwen-7B
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: cpt
results: []
cpt
This model is a fine-tuned version of Qwen/Qwen-7B on the fineweb dataset. It achieves the following results on the evaluation set:
- Loss: 2.4038
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: 120
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 960
- 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: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1109 | 1.9157 | 500 | 2.4038 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2+git70dfd51
- Datasets 2.20.0
- Tokenizers 0.19.1