---

library_name: transformers

license: apache-2.0

base_model: Qwen/Qwen2.5-0.5B-Instruct

tags:

• generated_from_trainer

language:

• zho

• eng

• fra

• spa

• por

• deu

• ita

• rus

• jpn

• kor

• vie

• tha

• ara

model-index:

• name: careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_small

  results: []

---

careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_small

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the None dataset.

It achieves the following results on the evaluation set:

• Loss: 1.2264

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: 2e-05

• train_batch_size: 32

• eval_batch_size: 32

• seed: 42

• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments

• lr_scheduler_type: linear

• lr_scheduler_warmup_steps: 1000

• num_epochs: 2

• mixed_precision_training: Native AMP

Training results

| Training Loss | Epoch | Step | Validation Loss |

|:-------------:|:-----:|:----:|:---------------:|

| No log | 1.0 | 212 | 1.2660 |

| No log | 2.0 | 424 | 1.2264 |

Framework versions

• Transformers 4.46.1

• Pytorch 2.5.0+cu124

• Datasets 2.19.0

• Tokenizers 0.20.1