qwen2_chunking_mlp_freeze_uniform_with_shared_start_sft
This model is a fine-tuned version of DongfuJiang/Qwen2.5-0.5B-Instruct on the wikitext-103-v1 dataset. It achieves the following results on the evaluation set:
- Loss: 3.9502
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: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.107 | 0.5867 | 500 | 4.0980 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.20.3
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.