---
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