careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model

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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model

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: 1.4229

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: 8

• eval_batch_size: 8

• seed: 42

• gradient_accumulation_steps: 4

• total_train_batch_size: 32

• optimizer: Use OptimizerNames.ADAFACTOR and the args are:

No additional optimizer arguments

• lr_scheduler_type: linear

• lr_scheduler_warmup_steps: 1

• training_steps: 5072

Training results

| Training Loss | Epoch | Step | Validation Loss |

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

| No log | 0.9968 | 158 | 1.0200 |

| No log | 2.0 | 317 | 0.9880 |

| No log | 2.9968 | 475 | 0.9873 |

| No log | 4.0 | 634 | 1.0426 |

| No log | 4.9968 | 792 | 1.0514 |

| No log | 6.0 | 951 | 1.0938 |

| No log | 6.9968 | 1109 | 1.0742 |

| No log | 8.0 | 1268 | 1.1283 |

| No log | 8.9968 | 1426 | 1.1356 |

| No log | 10.0 | 1585 | 1.1581 |

| No log | 10.9968 | 1743 | 1.2045 |

| No log | 12.0 | 1902 | 1.2060 |

| No log | 12.9968 | 2060 | 1.2354 |

| No log | 14.0 | 2219 | 1.2285 |

| No log | 14.9968 | 2377 | 1.2401 |

| No log | 16.0 | 2536 | 1.2986 |

| No log | 16.9968 | 2694 | 1.2904 |

| No log | 18.0 | 2853 | 1.3051 |

| No log | 18.9968 | 3011 | 1.3109 |

| No log | 20.0 | 3170 | 1.3154 |

| No log | 20.9968 | 3328 | 1.3202 |

| No log | 22.0 | 3487 | 1.3282 |

| No log | 22.9968 | 3645 | 1.3385 |

| No log | 24.0 | 3804 | 1.3295 |

| No log | 24.9968 | 3962 | 1.3512 |

| No log | 26.0 | 4121 | 1.3583 |

| No log | 26.9968 | 4279 | 1.3666 |

| No log | 28.0 | 4438 | 1.3841 |

| No log | 28.9968 | 4596 | 1.3938 |

| No log | 30.0 | 4755 | 1.4084 |

| No log | 30.9968 | 4913 | 1.4178 |

| No log | 32.0 | 5072 | 1.4229 |

Framework versions

• Transformers 4.46.1

• Pytorch 2.5.0+cu124

• Datasets 2.19.0

• Tokenizers 0.20.1