metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
model-index:
  - name: peft-finetune-flan-t5-mc-question-generation
    results: []
pipeline_tag: text2text-generation
inference:
  parameters:
    max_length: 256
    num_beams: 4
    length_penalty: 1.5
    no_repeat_ngram_size: 3
    early_stopping: true

peft-finetune-flan-t5-mc-question-generation

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1306

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: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
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
2.2907	0.13	100	1.7315
1.8012	0.25	200	1.3366
1.5077	0.38	300	1.2346
1.419	0.51	400	1.2027
1.3772	0.64	500	1.1884
1.3566	0.76	600	1.1770
1.3348	0.89	700	1.1696
1.3307	1.02	800	1.1624
1.3247	1.15	900	1.1586
1.3139	1.27	1000	1.1537
1.3048	1.4	1100	1.1507
1.3045	1.53	1200	1.1476
1.2999	1.65	1300	1.1451
1.2978	1.78	1400	1.1425
1.2903	1.91	1500	1.1407
1.2897	2.04	1600	1.1409
1.2881	2.16	1700	1.1386
1.2845	2.29	1800	1.1374
1.2749	2.42	1900	1.1360
1.2846	2.55	2000	1.1349
1.281	2.67	2100	1.1339
1.282	2.8	2200	1.1331
1.2786	2.93	2300	1.1326
1.2799	3.06	2400	1.1322
1.2777	3.18	2500	1.1320
1.2767	3.31	2600	1.1316
1.2716	3.44	2700	1.1313
1.2762	3.56	2800	1.1309
1.2723	3.69	2900	1.1305
1.2741	3.82	3000	1.1304
1.2762	3.95	3100	1.1306

Framework versions

Transformers 4.33.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3