metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-base-gsm8k_model
    results: []

flan-t5-base-gsm8k_model

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: 0.8620
Rouge1: 0.2697
Rouge2: 0.1356
Rougel: 0.2253
Rougelsum: 0.2422

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.1948	1.0	654	0.9260	0.2684	0.1280	0.2208	0.2394
0.9443	2.0	1308	0.8731	0.2686	0.1332	0.2242	0.2419
0.8297	3.0	1962	0.8620	0.2697	0.1356	0.2253	0.2422
0.6273	4.0	2616	0.8873	0.2732	0.1404	0.2289	0.2461
0.558	5.0	3270	0.8902	0.2736	0.1426	0.2300	0.2464
0.499	6.0	3924	0.9316	0.2750	0.1424	0.2305	0.2479
0.4007	7.0	4578	0.9573	0.2777	0.1437	0.2322	0.2489
0.353	8.0	5232	1.0082	0.2743	0.1431	0.2308	0.2478
0.3235	9.0	5886	1.0506	0.2761	0.1463	0.2332	0.2499
0.2644	10.0	6540	1.1053	0.2780	0.1465	0.2338	0.2509
0.2325	11.0	7194	1.1463	0.2785	0.1478	0.2345	0.2513
0.2171	12.0	7848	1.2101	0.2784	0.1492	0.2344	0.2518
0.1852	13.0	8502	1.2566	0.2784	0.1470	0.2336	0.2506
0.1692	14.0	9156	1.3192	0.2777	0.1463	0.2325	0.2498
0.1602	15.0	9810	1.3562	0.2787	0.1473	0.2333	0.2507

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1