shubham
End of training
3fa84d9 verified
|
raw
history blame
2.28 kB
metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-base-lable_model_1
    results: []

flan-t5-base-lable_model_1

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: 0.0517
  • Rouge1: 95.1613
  • Rouge2: 0.0
  • Rougel: 95.1613
  • Rougelsum: 95.1613
  • Gen Len: 4.3871

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: 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: 20

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 18 0.0815 95.1613 0.0 95.1613 95.1613 4.3871
No log 2.0 36 0.0740 95.1613 0.0 95.1613 95.1613 4.3871
No log 3.0 54 0.0757 95.1613 0.0 95.1613 95.1613 4.3871
No log 4.0 72 0.0542 95.1613 0.0 95.1613 95.1613 4.3871
No log 5.0 90 0.0517 95.1613 0.0 95.1613 95.1613 4.3871
No log 6.0 108 0.0519 95.1613 0.0 95.1613 95.1613 4.3871
No log 7.0 126 0.0637 95.1613 0.0 95.1613 95.1613 4.3871
No log 8.0 144 0.0688 95.1613 0.0 95.1613 95.1613 4.3871

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1