APIGen_5k_hermes_new_1
This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the APIGen_5k_hermes_new_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2040
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1933 | 0.2398 | 100 | 0.2606 |
| 0.2539 | 0.4796 | 200 | 0.2273 |
| 0.167 | 0.7194 | 300 | 0.2076 |
| 0.2261 | 0.9592 | 400 | 0.2035 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 8