Model: ymoslem/xlm-roberta-large-qe-v1
Author: ymoslem
Pipeline: text-classification
Library: transformers
Tags: transformers, tensorboard, safetensors, xlm-roberta, text-classification, quality-estimation, regression, generated_from_trainer, multilingual, bn, cs, de, en, et, fi, fr, gu, ha, hi, is, ja, kk, km, lt, lv, pl, ps, ru, ta, tr, uk, xh, zh, zu, dataset:ymoslem/wmt-da-human-evaluation, base_model:FacebookAI/xlm-roberta-large, base_model:finetune:FacebookAI/xlm-roberta-large, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/xlm-roberta-large
Card metadata: library_name: transformers
language: multilingual, bn, cs, de, en, et, fi, fr, gu, ha, hi, is, ja, kk, km, lt, lv, pl, ps, ru, ta, tr, uk, xh, zh, zu
license: mit
base_model: FacebookAI/xlm-roberta-large
tags: quality-estimation, regression, generated_from_trainer
datasets: ymoslem/wmt-da-human-evaluation
model-index: name: Quality Estimation for Machine Translation
results: task: type: regression
dataset: name: ymoslem/wmt-da-human-evaluation
type: QE
metrics: name: Pearson Correlation
type: Pearson
value: 0.422
verified: no, name: Mean Absolute Error
type: MAE
value: 0.196
verified: no, name: Root Mean Squared Error
type: RMSE
value: 0.245
verified: no, name: R-Squared
type: R2
value: 0.245
verified: no
metrics: perplexity, mae, r_squared
Likes: 1 | All-time downloads: 213
Created: 2025-01-15 05:51:13