metadata

base_model: NousResearch/Llama-2-7b-chat-hf
tags:
  - generated_from_trainer
model-index:
  - name: finetuned-llama2-2048-v3.0
    results: []
license: apache-2.0
datasets:
  - squad_v2
language:
  - en

finetuned-llama2-2048-v3.0

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0