Baby-Llama-58M-finaltest

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 40.6369

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: 0.00025
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
199.7705	1.0	12	175.1907
152.5864	2.0	24	141.1568
134.9071	3.0	36	116.7546
70.9555	4.0	48	62.6677
45.6886	5.0	60	40.6369

Framework versions

• Transformers 4.39.1
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0