tinyllama_alpaca_sft_sample

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the tatsu-lab/alpaca dataset. It achieves the following results on the evaluation set:

• Loss: 1.2134

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• total_eval_batch_size: 128
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.2486	1.0	23	1.2134

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.0a0+b465a5843b.nv24.09
• Datasets 3.0.2
• Tokenizers 0.20.3