metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - gsm8k
model-index:
  - name: flan-t5-large-finetuned-gsm8k
    results: []
widget:
  - text: >-
      Please, answer the following question reasoning step-by-step:  If Manu
      eats twice a day, how many meals does he take for a week?
  - text: >-
      Please, answer the following question reasoning step-by-step: Manu bought
      4 apples and lost one in the market. How many apples does Manu have?

flan-t5-large-finetuned-gsm8k

This model is a fine-tuned version of google/flan-t5-large on the gsm8k dataset. It achieves the following results on the evaluation set:

Loss: 0.3091
Rouge2 Precision: 0.4454
Rouge2 Recall: 0.0953
Rouge2 Fmeasure: 0.152

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: 2
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.34	1.0	3737	0.3206	0.4241	0.089	0.1423
0.2786	2.0	7474	0.3089	0.4334	0.0916	0.1463
0.247	3.0	11211	0.3074	0.4461	0.095	0.1515
0.2283	4.0	14948	0.3091	0.4454	0.0953	0.152

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2