news-summarization-finetuned-mistral-7b

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.0477

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
2.1549	0.0109	20	2.1256
2.0143	0.0219	40	2.0855
2.0595	0.0328	60	2.0559
1.9444	0.0437	80	2.0500
2.1425	0.0547	100	2.0477

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.4.1+cu121
• Datasets 2.16.0
• Tokenizers 0.20.0