metadata
license: apache-2.0
library_name: transformers
EarlyCheckpoint
1. Introduction
EarlyCheckpoint is the first saved checkpoint from our training run, captured at the very beginning of training. It serves as a baseline for comparing training progress.
This model represents the initial state of training and is useful for ablation studies and understanding training dynamics.
2. Model Information
| Property | Value |
|---|---|
| Architecture | BERT |
| Training Step | step_100 |
| License | Apache-2.0 |
3. How to Use
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("EarlyCheckpoint-v1")
tokenizer = AutoTokenizer.from_pretrained("EarlyCheckpoint-v1")
4. License
This model is licensed under the Apache-2.0 License.
5. Contact
Open an issue on our GitHub for questions.