metadata

license: other
base_model: Qwen/Qwen1.5-7B-Chat
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: Qwen1.5-7B-Chat_fictional_arc_challenge_Japanese_v1
    results: []

Qwen1.5-7B-Chat_fictional_arc_challenge_Japanese_v1

This model is a fine-tuned version of Qwen/Qwen1.5-7B-Chat on the generator 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: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 72

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2