Model Trained Using AutoTrain

  • Problem type: Seq2Seq

Validation Metrics

loss: 2.798929214477539

rouge1: 46.1711

rouge2: 19.2044

rougeL: 35.7712

rougeLsum: 37.2111

gen_len: 16.245

runtime: 390.1247

samples_per_second: 0.513

steps_per_second: 0.026

: 3.0

Downloads last month
23
Safetensors
Model size
226M params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Nosiath/train-1000-ViT5-test

Base model

VietAI/vit5-base
Finetuned
(54)
this model