minillama2

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

• eval_loss: 3.9366
• eval_runtime: 0.8539
• eval_samples_per_second: 149.905
• eval_steps_per_second: 2.342
• epoch: 0.1147
• step: 4300

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: 0.0005
• train_batch_size: 32
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 37500.0

Framework versions

• Transformers 4.44.0
• Pytorch 2.2.1
• Datasets 2.20.0
• Tokenizers 0.19.1