Update README.md
Browse files
README.md
CHANGED
|
@@ -461,31 +461,31 @@ model-index:
|
|
| 461 |
- task:
|
| 462 |
type: text-generation
|
| 463 |
dataset:
|
| 464 |
-
name:
|
| 465 |
-
type:
|
| 466 |
metrics:
|
| 467 |
-
- name:
|
| 468 |
type: spearman
|
| 469 |
value: 77.73
|
| 470 |
-
- name:
|
| 471 |
type: spearman
|
| 472 |
value: 76.78
|
| 473 |
-
- name:
|
| 474 |
type: spearman
|
| 475 |
value: 78.30
|
| 476 |
- task:
|
| 477 |
type: text-generation
|
| 478 |
dataset:
|
| 479 |
-
name:
|
| 480 |
-
type:
|
| 481 |
metrics:
|
| 482 |
-
- name:
|
| 483 |
type: pearson
|
| 484 |
value: 77.25
|
| 485 |
-
- name:
|
| 486 |
type: pearson
|
| 487 |
value: 75.83
|
| 488 |
-
- name:
|
| 489 |
type: pearson
|
| 490 |
value: 77.49
|
| 491 |
|
|
@@ -548,8 +548,8 @@ Use the code below to get started with the model.
|
|
| 548 |
```python
|
| 549 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 550 |
|
| 551 |
-
tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct
|
| 552 |
-
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct
|
| 553 |
|
| 554 |
instruction = "Ce jocuri de societate pot juca cu prietenii mei?"
|
| 555 |
chat = [
|
|
|
|
| 461 |
- task:
|
| 462 |
type: text-generation
|
| 463 |
dataset:
|
| 464 |
+
name: STS_Spearman
|
| 465 |
+
type: STS_Spearman
|
| 466 |
metrics:
|
| 467 |
+
- name: 1-shot
|
| 468 |
type: spearman
|
| 469 |
value: 77.73
|
| 470 |
+
- name: 3-shot
|
| 471 |
type: spearman
|
| 472 |
value: 76.78
|
| 473 |
+
- name: 5-shot
|
| 474 |
type: spearman
|
| 475 |
value: 78.30
|
| 476 |
- task:
|
| 477 |
type: text-generation
|
| 478 |
dataset:
|
| 479 |
+
name: STS_Pearson
|
| 480 |
+
type: STS_Pearson
|
| 481 |
metrics:
|
| 482 |
+
- name: 1-shot
|
| 483 |
type: pearson
|
| 484 |
value: 77.25
|
| 485 |
+
- name: 3-shot
|
| 486 |
type: pearson
|
| 487 |
value: 75.83
|
| 488 |
+
- name: 5-shot
|
| 489 |
type: pearson
|
| 490 |
value: 77.49
|
| 491 |
|
|
|
|
| 548 |
```python
|
| 549 |
from transformers import AutoTokenizer, AutoModelForCausalLM
|
| 550 |
|
| 551 |
+
tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct")
|
| 552 |
+
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct")
|
| 553 |
|
| 554 |
instruction = "Ce jocuri de societate pot juca cu prietenii mei?"
|
| 555 |
chat = [
|