careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_2

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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_2

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: 1.2291

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-05

• train_batch_size: 16

• eval_batch_size: 16

• 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: 50

• num_epochs: 2

• mixed_precision_training: Native AMP

Training results

| Training Loss | Epoch | Step | Validation Loss |

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

| No log | 1.0 | 371 | 1.3077 |

| 1.4117 | 2.0 | 742 | 1.2291 |

Framework versions

• Transformers 4.46.1

• Pytorch 2.5.0+cu124

• Datasets 2.19.0

• Tokenizers 0.20.1