Nielzac's picture
End of training
27eb25c verified
metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: google/flan-t5-base
model-index:
  - name: T52Graph2024_05_20_15_48_26_epoch
    results: []

Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases

T52Graph2024_05_20_15_48_26_epoch

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3231

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: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
2.5578 0.1434 1000 0.5838
0.3706 0.2869 2000 0.4248
0.2828 0.4303 3000 0.3755
0.2532 0.5737 4000 0.3508
0.2403 0.7172 5000 0.3314
0.2105 0.8606 6000 0.3231

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1