metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: results
    results: []

results

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: 0.0000
Rouge1: 0.8708
Rouge2: 0.8636
Rougel: 0.8708
Rougelsum: 0.8708

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: 0.001
train_batch_size: 24
eval_batch_size: 4
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
No log	1.0	1	1.1463	0.2430	0.1714	0.2430	0.2430
No log	2.0	2	0.4544	0.7028	0.6432	0.7028	0.7028
No log	3.0	3	0.1078	0.8708	0.8413	0.8708	0.8708
No log	4.0	4	0.0477	0.8708	0.8636	0.8708	0.8708
No log	5.0	5	0.0856	0.8708	0.8636	0.8708	0.8708
No log	6.0	6	0.0128	0.8708	0.8636	0.8708	0.8708
No log	7.0	7	0.0088	0.8708	0.8636	0.8708	0.8708
No log	8.0	8	0.0082	0.8708	0.8636	0.8708	0.8708
No log	9.0	9	0.0019	0.8708	0.8636	0.8708	0.8708
No log	10.0	10	0.0008	0.8708	0.8636	0.8708	0.8708
No log	11.0	11	0.0005	0.8708	0.8636	0.8708	0.8708
No log	12.0	12	0.0003	0.8708	0.8636	0.8708	0.8708
No log	13.0	13	0.0002	0.8708	0.8636	0.8708	0.8708
No log	14.0	14	0.0001	0.8708	0.8636	0.8708	0.8708
No log	15.0	15	0.0001	0.8708	0.8636	0.8708	0.8708
No log	16.0	16	0.0001	0.8708	0.8636	0.8708	0.8708
No log	17.0	17	0.0000	0.8708	0.8636	0.8708	0.8708
No log	18.0	18	0.0001	0.8708	0.8636	0.8708	0.8708
No log	19.0	19	0.0001	0.8708	0.8636	0.8708	0.8708
No log	20.0	20	0.0000	0.8708	0.8636	0.8708	0.8708

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1