ICSR_classification_finetuned_mistral_adapters_V100_test

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: 1.0845

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: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1907	0.1996	100	1.1196
1.1121	0.3992	200	1.1080
1.1002	0.5988	300	1.0956
1.0871	0.7984	400	1.0866
1.0808	0.9980	500	1.0845

Framework versions

• PEFT 0.11.1
• Transformers 4.44.0
• Pytorch 2.2.2+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1