Model: doguilmak/inferencevision-gpt-neo-1.3B
Author: doguilmak
Pipeline: question-answering
Tags: safetensors, gpt_neo, question-answering, causal-lm, fine-tuned, pytorch, en, base_model:EleutherAI/gpt-neo-1.3B, base_model:finetune:EleutherAI/gpt-neo-1.3B, license:mit, model-index, region:us
Base models (finetune): id: EleutherAI/gpt-neo-1.3B
Card metadata: language: en
base_model: EleutherAI/gpt-neo-1.3B
pipeline_tag: question-answering
tags: question-answering, causal-lm, fine-tuned, safetensors, pytorch
model-index: name: InferenceVision-GPTNeo-1.3B
results: task: type: question-answering
dataset: name: InferenceVision QA Eval Set
type: inferencevision_qa
metrics: type: training_loss
value: 0.045680568803514
verified: no, type: train_runtime_seconds
value: 698.3099
verified: no, type: samples_per_second
value: 11.181
verified: no, type: steps_per_second
value: 2.795
verified: no, type: total_flops
value: 28986218347757570
verified: no, type: rouge1
value: 0.2642
verified: no, type: rougeL
value: 0.2293
verified: no, type: bertscore_precision
value: 0.851
verified: no, type: bertscore_recall
value: 0.8829
verified: no, type: bertscore_f1
value: 0.8665
verified: no, name: Parameter Count
type: Parameter Count
value: 1.3
verified: no
metrics: bertscore, rouge
license: mit
Likes: 0 | All-time downloads: 55
Created: 2025-08-26 12:35:21