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## Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models Paper: https://arxiv.org/abs/2310.13312 Github: https://github.com/deep-over/FiLM **FiLM**(**Fi**nancial **L**anguage **M**odel) Models 🌟 FiLM is a Pre-trained Language Model (PLM) optimized for the Financial domain, built upon a diverse range of Financial domain corpora. Initialized with the RoBERTa-base model, FiLM undergoes further training to achieve performance that surpasses RoBERTa-base in the economics sector for the first time. To train FiLM, we have categorized our Financial Corpus into specific groups and gathered a diverse range of corpora to ensure optimal performance. We offer two versions of the FiLM model, each tailored for specific use-cases in the Financial domain: **FiLM (2.4B): Our Base Model** This is our foundational model, trained on the entire range of corpora as outlined in the above Corpus table. Ideal for a wide array of financial applications. 📊 **FiLM (5.5B…a8498e2
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