File size: 1,045 Bytes
5f8135c 7b46efd 5f8135c 7b46efd 5f8135c 2fbde08 7b46efd 2fbde08 7b46efd 2fbde08 7b46efd 2fbde08 7b46efd 2fbde08 099e95e 2fbde08 7b46efd 2fbde08 7b46efd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | ---
language: en
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation
- language-modeling
- transformers
- from-scratch
model_name: Genesis-100M
---
## Architecture
- Decoder-only Transformer (GPT-style)
- 12 layers
- Hidden size: 768
- Attention heads: 12
- Context length: 512
- Parameters: ~100M
## Training
- Dataset: News articles (CNN/DailyMail – articles only)
- Objective: Causal Language Modeling
- Hardware: Google Colab GPU
- Precision: FP16
- Training steps: 2000
- Optimizations: Gradient checkpointing, gradient accumulation
## Training Loss Curve
The training loss decreased steadily from approximately **9.1 to 5.3** over **2000 training steps**, indicating stable convergence during from-scratch training of the 100M-parameter language model.
## Intended Use
- Research
- Educational purposes
- Text generation experiments
## Limitations
- Not instruction-tuned
- Trained for limited steps
- Outputs may be verbose or repetitive
|