metadata
library_name: transformers
license: other
base_model: Qwen2.5-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Qwen2.5-7B-Instruct-critic_lean_mix_48k
results: []
Qwen2.5-7B-Instruct-critic_lean_mix_48k
This model is a fine-tuned version of Qwen2.5-7B-Instruct on the critic_lean_mix_48k dataset. It achieves the following results on the evaluation set:
- Loss: 0.3344
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-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3494 | 1.0 | 2970 | 0.3095 |
| 0.2317 | 2.0 | 5940 | 0.3043 |
| 0.1291 | 3.0 | 8910 | 0.3344 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1