UTI_L3_300steps_1e7rate_SFT

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.6612

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: 1e-07
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
2.7452	0.3333	25	2.7748
2.7844	0.6667	50	2.7704
2.7915	1.0	75	2.7596
2.7945	1.3333	100	2.7379
2.6614	1.6667	125	2.7138
2.555	2.0	150	2.6921
2.6746	2.3333	175	2.6756
2.7057	2.6667	200	2.6665
2.7025	3.0	225	2.6620
2.6592	3.3333	250	2.6607
2.5701	3.6667	275	2.6610
2.6338	4.0	300	2.6612

Framework versions

• Transformers 4.41.1
• Pytorch 2.0.0+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1