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thatdramebaazguy/
roberta-base-MITmovie

Name: roberta-base-MITmovie
Availability: InStock

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roberta-base + Movies NER Task

Objective: This is Roberta Base trained for the NER task using MIT Movie Dataset

model_name = "thatdramebaazguy/roberta-base-MITmovie"
pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="ner")

Overview

Language model: roberta-base
Language: English
Downstream-task: NER
Training data: MIT Movie
Eval data: MIT Movie
Infrastructure: 2x Tesla v100
Code: See example

Hyperparameters

Num examples = 6253  
Num Epochs = 5 
Instantaneous batch size per device = 64
Total train batch size (w. parallel, distributed & accumulation) = 128

Performance

Eval on MIT Movie

epoch = 5.0
eval_accuracy = 0.9476
eval_f1 = 0.8853
eval_loss = 0.2208
eval_mem_cpu_alloc_delta = 17MB
eval_mem_cpu_peaked_delta = 2MB
eval_mem_gpu_alloc_delta = 0MB
eval_mem_gpu_peaked_delta = 38MB
eval_precision = 0.8833
eval_recall = 0.8874
eval_runtime = 0:00:03.62
eval_samples = 1955

Github Repo:

Domain-Adaptation Project