metadata

license: other
library_name: peft
tags:
  - llama-factory
  - lora
  - generated_from_trainer
base_model: /ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_14B
model-index:
  - name: qwen_14B_d1_iter2_model
    results: []

qwen_14B_d1_iter2_model

This model is a fine-tuned version of /ML-A100/team/mm/eamon/self_instruction/models/Qwen1_5_14B on the qwen_14B_d1_iter2_model dataset. It achieves the following results on the evaluation set:

Loss: 0.5391

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: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5923	0.5917	100	0.5549
0.485	1.1834	200	0.5391
0.4405	1.7751	300	0.5399

Framework versions

PEFT 0.10.0
Transformers 4.41.2
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1