MISTRAL_finetunned

This model is a fine-tuned version of malhajar/Mistral-7B-v0.2-meditron-turkish on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.7008
• eval_model_preparation_time: 0.0047
• eval_runtime: 977.2033
• eval_samples_per_second: 0.129
• eval_steps_per_second: 0.016
• step: 0

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: 4
• eval_batch_size: 8
• 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
• num_epochs: 3

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1