goldfish-models
commited on
Commit
•
e373fb6
1
Parent(s):
655f4c4
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
@@ -11,7 +11,7 @@ library_name: transformers
|
|
11 |
pipeline_tag: text-generation
|
12 |
tags:
|
13 |
- goldfish
|
14 |
-
|
15 |
---
|
16 |
|
17 |
# mon_cyrl_1000mb
|
@@ -24,7 +24,7 @@ Note: This language is available in Goldfish with other scripts (writing systems
|
|
24 |
|
25 |
Note: mon_cyrl is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. Individual language code khk_cyrl (Halh Mongolian) is included in Goldfish, although with less data.
|
26 |
|
27 |
-
All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://
|
28 |
|
29 |
Training code and sample usage: https://github.com/tylerachang/goldfish
|
30 |
|
@@ -34,6 +34,7 @@ Sample usage also in this Google Colab: [link](https://colab.research.google.com
|
|
34 |
|
35 |
To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
|
36 |
All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
|
|
|
37 |
Details for this model specifically:
|
38 |
|
39 |
* Architecture: gpt2
|
@@ -61,5 +62,6 @@ If you use this model, please cite:
|
|
61 |
author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
|
62 |
journal={Preprint},
|
63 |
year={2024},
|
|
|
64 |
}
|
65 |
```
|
|
|
11 |
pipeline_tag: text-generation
|
12 |
tags:
|
13 |
- goldfish
|
14 |
+
- arxiv:2408.10441
|
15 |
---
|
16 |
|
17 |
# mon_cyrl_1000mb
|
|
|
24 |
|
25 |
Note: mon_cyrl is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. Individual language code khk_cyrl (Halh Mongolian) is included in Goldfish, although with less data.
|
26 |
|
27 |
+
All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://www.arxiv.org/abs/2408.10441).
|
28 |
|
29 |
Training code and sample usage: https://github.com/tylerachang/goldfish
|
30 |
|
|
|
34 |
|
35 |
To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json.
|
36 |
All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences.
|
37 |
+
For best results, make sure that [CLS] is prepended to your input sequence (see sample usage linked above)!
|
38 |
Details for this model specifically:
|
39 |
|
40 |
* Architecture: gpt2
|
|
|
62 |
author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
|
63 |
journal={Preprint},
|
64 |
year={2024},
|
65 |
+
url={https://www.arxiv.org/abs/2408.10441},
|
66 |
}
|
67 |
```
|