news-summarization-finetuned-mistral-7b

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.4730

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
2.2259	0.2985	20	2.4012
1.9923	0.5970	40	2.2957
1.9638	0.8955	60	2.2907
1.5504	1.1940	80	2.3691
1.4113	1.4925	100	2.4730

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.1.2
• Datasets 2.16.0
• Tokenizers 0.19.1