Update README.md
Browse files
README.md
CHANGED
@@ -8,11 +8,11 @@ metrics:
|
|
8 |
model-index:
|
9 |
- name: mbart-large-50-English_French_Translation_v2
|
10 |
results: []
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
-
should probably proofread and complete it, then remove this comment. -->
|
15 |
-
|
16 |
# mbart-large-50-English_French_Translation_v2
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
|
@@ -24,15 +24,17 @@ It achieves the following results on the evaluation set:
|
|
24 |
|
25 |
## Model description
|
26 |
|
27 |
-
|
|
|
|
|
28 |
|
29 |
## Intended uses & limitations
|
30 |
|
31 |
-
|
32 |
|
33 |
## Training and evaluation data
|
34 |
|
35 |
-
|
36 |
|
37 |
## Training procedure
|
38 |
|
@@ -59,4 +61,4 @@ The following hyperparameters were used during training:
|
|
59 |
- Transformers 4.26.1
|
60 |
- Pytorch 1.12.1
|
61 |
- Datasets 2.9.0
|
62 |
-
- Tokenizers 0.12.1
|
|
|
8 |
model-index:
|
9 |
- name: mbart-large-50-English_French_Translation_v2
|
10 |
results: []
|
11 |
+
language:
|
12 |
+
- en
|
13 |
+
- fr
|
14 |
---
|
15 |
|
|
|
|
|
|
|
16 |
# mbart-large-50-English_French_Translation_v2
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
|
|
|
24 |
|
25 |
## Model description
|
26 |
|
27 |
+
This model translates French input text samples to English.
|
28 |
+
|
29 |
+
For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Machine%20Translation/NLP%20Translation%20Project-EN:FR.ipynb
|
30 |
|
31 |
## Intended uses & limitations
|
32 |
|
33 |
+
This model is intended to demonstrate my ability to solve a complex problem using technology.
|
34 |
|
35 |
## Training and evaluation data
|
36 |
|
37 |
+
Dataset Source: https://www.kaggle.com/datasets/hgultekin/paralel-translation-corpus-in-22-languages
|
38 |
|
39 |
## Training procedure
|
40 |
|
|
|
61 |
- Transformers 4.26.1
|
62 |
- Pytorch 1.12.1
|
63 |
- Datasets 2.9.0
|
64 |
+
- Tokenizers 0.12.1
|