llama_3b_step2_batch_v7

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3371

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 40
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.6252	0.2725	50	0.6565
0.5027	0.5450	100	0.4653
0.3997	0.8174	150	0.3908
0.2514	1.0899	200	0.3597
0.2616	1.3624	250	0.3475
0.2714	1.6349	300	0.3390
0.2247	1.9074	350	0.3371

Framework versions

• Transformers 4.46.1
• Pytorch 2.1.0+cu118
• Datasets 3.0.2
• Tokenizers 0.20.1