metadata

base_model: internlm/internlm2-1_8b
library_name: peft
license: other
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: intern_orca_ft2_out
    results: []

intern_orca_ft2_out

This model is a fine-tuned version of internlm/internlm2-1_8b 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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0

Framework versions

PEFT 0.12.0
Transformers 4.43.0.dev0
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1