| --- |
| library_name: transformers |
| license: other |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: agent_trek |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # agent_trek |
| |
| This model is a fine-tuned version of [/ceph/home/muhan01/huggingfacemodels/Qwen2.5-7B-Instruct](https://huggingface.co//ceph/home/muhan01/huggingfacemodels/Qwen2.5-7B-Instruct) on the agent_trek dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2893 |
|
|
| ## 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: 4 |
| - total_train_batch_size: 32 |
| - 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 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.3906 | 0.1352 | 200 | 0.4129 | |
| | 0.3823 | 0.2704 | 400 | 0.3794 | |
| | 0.3507 | 0.4056 | 600 | 0.3506 | |
| | 0.3065 | 0.5408 | 800 | 0.3299 | |
| | 0.3042 | 0.6760 | 1000 | 0.3088 | |
| | 0.2977 | 0.8112 | 1200 | 0.2946 | |
| | 0.2908 | 0.9464 | 1400 | 0.2895 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2-rc0 |
| |
