spanish-gpt2
| Property | Value |
|---|---|
| Author | mrm8488 |
| Training Data Size | 20GB |
| Perplexity | 11.36 |
| Model URL | Hugging Face |
What is spanish-gpt2?
spanish-gpt2 is a Spanish language model trained from scratch using the GPT-2 architecture on BETO's corpus during the Flax/Jax Community Week. This collaborative project, sponsored by Google for TPU usage and organized by HuggingFace, represents a significant advancement in Spanish language modeling.
Implementation Details
The model was trained using Flax on a massive 20GB Spanish corpus, with a 95-5 split between training and validation data. It achieved impressive metrics with a loss of 2.413 and perplexity of 11.36 on the evaluation dataset.
- Built using Flax/Jax framework
- Trained on TPU infrastructure
- Implements GPT-2 architecture specifically for Spanish
- Utilizes BETO's corpus for training
Core Capabilities
- Spanish language text generation
- Natural language understanding in Spanish context
- High-quality text completion and prediction
- Optimized for Spanish language patterns and structures
Frequently Asked Questions
Q: What makes this model unique?
This model is unique as it's specifically trained from scratch for Spanish language processing, unlike translated or multilingual models. Its training on a large 20GB corpus and impressive perplexity score of 11.36 make it particularly effective for Spanish language tasks.
Q: What are the recommended use cases?
The model is well-suited for Spanish text generation, completion, and analysis tasks. It can be used in applications requiring natural language understanding in Spanish, content generation, and text prediction systems.
