Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
datasets:
|
| 4 |
+
- omarmomen/babylm_10M
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
metrics:
|
| 8 |
+
- perplexity
|
| 9 |
+
library_name: transformers
|
| 10 |
+
---
|
| 11 |
+
# Model Card for omarmomen/roberta_base_32k_final
|
| 12 |
+
|
| 13 |
+
This model is part of the experiments in the published paper at the BabyLM workshop in CoNLL 2023.
|
| 14 |
+
The paper titled "Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building" (https://aclanthology.org/2023.conll-babylm.29/)
|
| 15 |
+
|
| 16 |
+
<strong>omarmomen/roberta_base_32k_final</strong> is a baseline RobertaModel.
|
| 17 |
+
|
| 18 |
+
The model is pretrained on the BabyLM 10M dataset using a custom pretrained RobertaTokenizer (https://huggingface.co/omarmomen/babylm_tokenizer_32k).
|