Model: NazmusAshrafi/setfit-MiniLM-mpnet-absa-tesla-tweet-aspect
Author: NazmusAshrafi
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, absa, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/paraphrase-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/paraphrase-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, absa, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy
widget: EPS:Why do I invest in $TSLA? Do I have blind faith? No. I closely watch their EPS, their P/E, their products, their forecast. This is the only investment I KNOW. And I know this is a great investment. I don’t say this to convince anyone. These are my thoughts about my investment., EPS:$TSLA at 57x Street 2023 EPS (45x my 2023 EPS) seems an absurd valuation for 50%+ volume/EPS growth fueled by the dual tailwinds of soaring EV adoption and TSLA capacity. Investors seem overly worried Elon will sell more TSLA shares even though he says “no further sales planned.” https://t.co/80siAfL847, TSLA:Cars ... for delivery ? Most likely so. $TSLA #GigaBerlin https://t.co/XL6auHEYjZ, companies:Mainstream media has done an amazing job at brainwashing people. Today at work, we were asked what companies we believe in &amp; I said @Tesla because they make the safest cars &amp; EVERYONE disagreed with me because they heard“they catch on fire &amp; the batteries cost 20k to replace”, cash flow:The market won’t be able to hold Tesla stock down longer, once all factories are ramping and in full production.

There’s a certain point where the # of cars being produced, revenue &amp; profit &amp; cash flow generated makes the valuation of Tesla look ridiculous.

$TSLA #Tesla
pipeline_tag: text-classification
inference: no
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index: name: SetFit Aspect Model with sentence-transformers/paraphrase-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.9798115746971736
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 186
Created: 2024-01-28 12:16:25