metadata
license: other
base_model: Qwen/Qwen1.5-14B-Chat
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: v2
results: []
v2
This model is a fine-tuned version of Qwen/Qwen1.5-14B-Chat on the QAs, the ds and the dialogue datasets. It achieves the following results on the evaluation set:
- Loss: 1.3823
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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2867 | 0.63 | 100 | 1.2870 |
| 0.9624 | 1.27 | 200 | 1.2869 |
| 0.9492 | 1.9 | 300 | 1.2718 |
| 0.6774 | 2.53 | 400 | 1.3823 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2