metadata

library_name: transformers
license: llama3.2
base_model: tanliboy/llama-3.2-3b
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama-3.2-3b-sft
    results: []

llama-3.2-3b-sft

This model is a fine-tuned version of tanliboy/llama-3.2-3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7042

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
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
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.6946	1.0	2230	0.7042

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1