
An mT5-base model on the pnSummary dataset to summarize articles. 

## Eval results

The following table summarizes the ROUGE scores obtained by the model for the validation set.

```text
+-----------+------+-----------+--------+-----------+
|   Score   | Type | Precision | Recall | F-Measure |
+-----------+------+-----------+--------+-----------+
|   rouge1  | low  |   48.60   | 45.25  |   45.47   |
|   rouge1  | mid  |   49.22   | 45.79  |   46.02   |
|   rouge1  | high |   49.80   | 46.36  |   46.54   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
|   rouge2  | low  |   29.46   | 27.33  |   27.56   |
|   rouge2  | mid  |   30.08   | 27.93  |   28.12   |
|   rouge2  | high |   30.69   | 28.52  |   28.71   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
|   rougeL  | low  |   42.20   | 39.26  |   39.51   |
|   rougeL  | mid  |   42.80   | 39.86  |   40.07   |
|   rougeL  | high |   43.43   | 40.41  |   40.62   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
| rougeLsum | low  |   42.15   | 39.26  |   39.48   |
| rougeLsum | mid  |   42.82   | 39.87  |   40.09   |
| rougeLsum | high |   43.39   | 40.43  |   40.61   |
+-----------+------+-----------+--------+-----------+
```


## Test results

The following table summarizes the ROUGE scores obtained by the model for the test set.

```text
+-----------+------+-----------+--------+-----------+
|   Score   | Type | Precision | Recall | F-Measure |
+-----------+------+-----------+--------+-----------+
|   rouge1  | low  |   48.83   | 44.99  |   45.41   |
|   rouge1  | mid  |   49.39   | 45.52  |   45.91   |
|   rouge1  | high |   50.02   | 46.07  |   46.48   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
|   rouge2  | low  |   29.27   | 26.90  |   27.23   |
|   rouge2  | mid  |   29.97   | 27.52  |   27.84   |
|   rouge2  | high |   30.62   | 28.15  |   28.46   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
|   rougeL  | low  |   42.30   | 38.94  |   39.34   |
|   rougeL  | mid  |   42.85   | 39.54  |   39.90   |
|   rougeL  | high |   43.51   | 40.12  |   40.49   |
|           |      |           |        |           |
|    ***    | ***  |    ***    |  ***   |    ***    |
|           |      |           |        |           |
| rougeLsum | low  |   42.27   | 38.94  |   39.35   |
| rougeLsum | mid  |   42.86   | 39.53  |   39.90   |
| rougeLsum | high |   43.42   | 40.12  |   40.45   |
+-----------+------+-----------+--------+-----------+
```
{"language": "fa", "tags": ["summarization", "mt5"], "datasets": ["pn_summary"], "pipeline_tag": "summarization", "widget": [{"text": "\u0628\u0627\u0628 \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u0628\u0627\u0632\u06cc\u06af\u0631 \u06f5\u06f8 \u0633\u0627\u0644\u0647\u200c \u0622\u0645\u0631\u06cc\u06a9\u0627\u06cc\u06cc \u06a9\u0647 \u0633\u0627\u0644\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u0627\u0646\u06cc \u062f\u0647\u0647 \u06f1\u06f9\u06f8\u06f0 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0622\u062b\u0627\u0631 \u06a9\u0645\u062f\u06cc \u06a9\u0627\u0631 \u062e\u0648\u062f \u0631\u0627 \u0622\u063a\u0627\u0632 \u06a9\u0631\u062f \u0648 \u0628\u0627 \u062d\u0636\u0648\u0631 \u062f\u0631 \u0633\u0631\u06cc\u0627\u0644 \u00ab\u0628\u0631\u06cc\u06a9\u06cc\u0646\u06af \u0628\u062f\u00bb (Breaking Bad) \u0628\u0647 \u0634\u0647\u0631\u062a \u06af\u0633\u062a\u0631\u062f\u0647\u200c\u062a\u0631 \u0631\u0633\u06cc\u062f\u060c \u0627\u062e\u06cc\u0631\u0627 \u062f\u0631 \u0646\u0642\u0634 \u0627\u0648\u0644 \u06cc\u06a9 \u0641\u06cc\u0644\u0645 \u0627\u06a9\u0634\u0646 \u062a\u0648\u062c\u0647 \u0631\u0633\u0627\u0646\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u06af\u0630\u0634\u062a\u0647 \u0628\u0647 \u062e\u0648\u062f \u062c\u0644\u0628 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u0633\u0627\u0644 \u06f1\u06f9\u06f8\u06f7 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u00ab\u067e\u062e\u0634 \u0632\u0646\u062f\u0647 \u0634\u0646\u0628\u0647 \u0634\u0628\u00bb (Saturday Night Live) \u0641\u0639\u0627\u0644\u06cc\u062a\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0622\u063a\u0627\u0632 \u06a9\u0631\u062f. \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0648 \u062f\u0631 \u0642\u0627\u0645\u062a \u06cc\u06a9 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0628\u0627 \u0628\u0627\u0632\u06cc \u0686\u0646\u062f\u06cc\u0646 \u0646\u0642\u0634 \u06a9\u0648\u0686\u06a9 \u067e\u06cc \u06af\u0631\u0641\u062a\u0647 \u0634\u062f. \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u0627\u0632 \u0647\u0645\u0627\u0646 \u0622\u063a\u0627\u0632 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f \u0633\u0648\u062f\u0627\u06cc \u0628\u0627\u0632\u06cc\u06af\u0631\u06cc \u062f\u0631 \u0633\u0631 \u062f\u0627\u0631\u062f \u0648 \u062f\u0647\u0647 \u06f1\u06f9\u06f9\u06f0 \u0646\u06cc\u0632 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0647\u0645\u06cc\u0646 \u0631\u0648\u06cc\u0627 \u062f\u0631 \u00ab\u0628\u0646 \u0627\u0633\u062a\u06cc\u0644\u0631 \u0634\u0648\u00bb (The Ben Stiller Show) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0648 \u0628\u0627\u0632\u06cc\u06af\u0631 \u062d\u0636\u0648\u0631 \u062a\u0648\u0627\u0645\u0627\u0646 \u06cc\u0627\u0641\u062a. \u0627\u0648\u062c \u0646\u0642\u0634\u200c\u0622\u0641\u0631\u06cc\u0646\u06cc\u200c\u0647\u0627\u06cc \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u062f\u0631 \u0633\u06cc\u062a\u06a9\u0627\u0645\u200c\u0647\u0627\u06cc \u062a\u0644\u0648\u06cc\u0632\u06cc\u0648\u0646\u06cc \u0628\u0627 \u00ab\u0645\u0633\u062a\u0631 \u0634\u0648 \u0628\u0627 \u0628\u0627\u0628 \u0648 \u062f\u06cc\u0648\u06cc\u062f\u00bb (Mr. Show with Bob and David) \u0631\u0642\u0645 \u062e\u0648\u0631\u062f \u06af\u0631\u0686\u0647 \u0631\u0648\u0646\u062f \u0641\u0639\u0627\u0644\u06cc\u062a\u200c\u0647\u0627\u06cc \u0627\u0648 \u0628\u0627 \u0646\u0642\u0634\u200c\u0647\u0627\u06cc \u06a9\u0648\u0686\u06a9 \u062f\u0631 \u0633\u0631\u06cc\u0627\u0644\u200c\u0647\u0627\u06cc\u06cc \u0647\u0645\u200c\u0686\u0648\u0646 \u00ab\u0633\u0627\u06cc\u0646\u0641\u0644\u062f\u00bb (Seinfeld) \u0648 \u00ab\u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0627\u062f\u0631\u00bb (How I Met Your Mother) \u0627\u062f\u0627\u0645\u0647 \u06cc\u0627\u0641\u062a. \u0633\u0627\u0644 \u06f2\u06f0\u06f0\u06f9 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0627\u0628 \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u0628\u0647 \u062a\u06cc\u0645 \u0628\u0627\u0632\u06cc\u06af\u0631\u0627\u0646 \u0633\u0631\u06cc\u0627\u0644 \u0628\u0631\u06cc\u06a9\u06cc\u0646\u06af \u0628\u062f \u067e\u06cc\u0648\u0633\u062a \u062a\u0627 \u0646\u0642\u0634 \u06cc\u06a9 \u0648\u06a9\u06cc\u0644 \u0641\u0627\u0633\u062f \u0628\u0647 \u0646\u0627\u0645 \u0633\u0627\u0644 \u06af\u0648\u062f\u0645\u0646 \u0631\u0627 \u0628\u0627\u0632\u06cc \u06a9\u0646\u062f \u0686\u0631\u062e\u0634 \u0645\u0647\u0645\u06cc \u0631\u0627 \u062f\u0631 \u0632\u0646\u062f\u06af\u06cc \u062d\u0631\u0641\u0647\u200c\u0627\u06cc\u0634 \u062a\u062c\u0631\u0628\u0647 \u200c\u06a9\u0631\u062f. \u0627\u06cc\u0641\u0627\u06cc \u0646\u0642\u0634 \u0633\u0627\u0644 \u062f\u0631 \u0633\u0631\u06cc\u0627\u0644 \u0628\u0631\u06cc\u06a9\u06cc\u0646\u06af \u0628\u062f \u0631\u0627\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc \u0646\u0642\u0634 \u0627\u0648\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u00ab\u0628\u0647\u062a\u0631\u0647 \u0628\u0627 \u0633\u0627\u0648\u0644 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u00bb (Better Call Saul) \u0647\u0645\u0648\u0627\u0631 \u06a9\u0631\u062f \u06a9\u0647 \u0627\u062d\u062a\u0645\u0627\u0644\u0627 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u0646\u0642\u0634 \u0647\u0645\u0647 \u0639\u0645\u0631 \u0627\u062f\u0646\u06a9\u06cc\u0631\u06a9 \u0628\u0648\u062f."}]}
transformers pytorch mt5 text2text-generation summarization fa dataset:pn_summary doi:10.57967/hf/1661 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #fa #dataset-pn_summary #doi-10.57967/hf/1661 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


An mT5-base model on the pnSummary dataset to summarize articles. 

## Eval results

The following table summarizes the ROUGE scores obtained by the model for the validation set.




## Test results

The following table summarizes the ROUGE scores obtained by the model for the test set.


## Eval results

The following table summarizes the ROUGE scores obtained by the model for the validation set. ## Test results

The following table summarizes the ROUGE scores obtained by the model for the test set.
TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #fa #dataset-pn_summary #doi-10.57967/hf/1661 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ## Eval results

The following table summarizes the ROUGE scores obtained by the model for the validation set. ## Test results

The following table summarizes the ROUGE scores obtained by the model for the test set.
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #fa #dataset-pn_summary #doi-10.57967/hf/1661 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
## Eval results

The following table summarizes the ROUGE scores obtained by the model for the validation set.## Test results

The following table summarizes the ROUGE scores obtained by the model for the test set.