metadata

library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: test_run_mini
    results: []

test_run_mini

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the llamafactory/alpaca_en dataset. It achieves the following results on the evaluation set:

Loss: 1.4379

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: 8
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.1538	3	1.4379

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1