Brad John Pitt
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -7,6 +7,9 @@ tags:
|
|
7 |
model-index:
|
8 |
- name: Gopal-finetuned-custom-en-to-ru
|
9 |
results: []
|
|
|
|
|
|
|
10 |
---
|
11 |
|
12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -18,11 +21,11 @@ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggi
|
|
18 |
|
19 |
## Model description
|
20 |
|
21 |
-
|
22 |
|
23 |
-
## Intended uses &
|
24 |
|
25 |
-
|
26 |
|
27 |
## Training and evaluation data
|
28 |
|
@@ -32,15 +35,6 @@ More information needed
|
|
32 |
|
33 |
### Training hyperparameters
|
34 |
|
35 |
-
The following hyperparameters were used during training:
|
36 |
-
- learning_rate: 1e-05
|
37 |
-
- train_batch_size: 64
|
38 |
-
- eval_batch_size: 64
|
39 |
-
- seed: 42
|
40 |
-
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
-
- lr_scheduler_type: linear
|
42 |
-
- num_epochs: 10
|
43 |
-
- mixed_precision_training: Native AMP
|
44 |
|
45 |
### Training results
|
46 |
|
@@ -51,4 +45,4 @@ The following hyperparameters were used during training:
|
|
51 |
- Transformers 4.38.2
|
52 |
- Pytorch 2.2.1+cu121
|
53 |
- Datasets 2.18.0
|
54 |
-
- Tokenizers 0.15.2
|
|
|
7 |
model-index:
|
8 |
- name: Gopal-finetuned-custom-en-to-ru
|
9 |
results: []
|
10 |
+
language:
|
11 |
+
- en
|
12 |
+
- ru
|
13 |
---
|
14 |
|
15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
21 |
|
22 |
## Model description
|
23 |
|
24 |
+
This is the fine-tuned model with my custom dataset and hyperparameters, Follow huggingface tutorials for enhanced knowledge
|
25 |
|
26 |
+
## Intended uses & limitation
|
27 |
|
28 |
+
Work on the accuracy part, increase the number of datasets, atleast 20k<n<100k
|
29 |
|
30 |
## Training and evaluation data
|
31 |
|
|
|
35 |
|
36 |
### Training hyperparameters
|
37 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
|
39 |
### Training results
|
40 |
|
|
|
45 |
- Transformers 4.38.2
|
46 |
- Pytorch 2.2.1+cu121
|
47 |
- Datasets 2.18.0
|
48 |
+
- Tokenizers 0.15.2
|