metadata
library_name: transformers
license: other
base_model: Qwen2.5-32B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Qwen2.5-32B-Instruct-critic_lean_mix_48k
results: []
Qwen2.5-32B-Instruct-critic_lean_mix_48k
This model is a fine-tuned version of Qwen2.5-32B-Instruct on the critic_lean_mix_48k dataset. It achieves the following results on the evaluation set:
- Loss: 0.2674
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: 32
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|
| No log | 1.0 | 743 | 0.2554 |
| 0.2863 | 2.0 | 1486 | 0.2506 |
| 0.1776 | 3.0 | 2229 | 0.2674 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1