metadata

base_model: /home/hz/projects/chatglm3-6b-32k
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: chatglm3-6b-32k-wenshu-finetuned
    results: []

chatglm3-6b-32k-wenshu-finetuned

This model is a fine-tuned version of /home/hz/projects/chatglm3-6b-32k on the wenshu_dataset 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0

Training results

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.6
Tokenizers 0.14.1