Edit model card

opt-350m_lora_lr0.0005_bs10_epoch5_wd0.01

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3942

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: 0.0005
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 63 3.4105
3.7109 2.0 126 3.4126
3.7109 3.0 189 3.4107
3.4287 4.0 252 3.3937
3.3121 5.0 315 3.3942

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.0
Downloads last month
3
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for jysssacc/opt-350m_lora_lr0.0005_bs10_epoch5_wd0.01

Base model

facebook/opt-350m
Adapter
(107)
this model