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IlyaGusev
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mbart_ru_sum_gazeta

Summarization
Transformers
PyTorch
Safetensors
Russian
mbart
text2text-generation
Inference Endpoints
Model card Files Community
3
IlyaGusev commited on
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Update README.md

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  1. README.md +12 -12
README.md CHANGED
@@ -51,7 +51,7 @@ input_ids = tokenizer(
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  output_ids = model.generate(
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  input_ids=input_ids,
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- no_repeat_ngram_size=3
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  )[0]
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  summary = tokenizer.decode(output_ids, skip_special_tokens=True)
@@ -78,26 +78,26 @@ print(summary)
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  * Test dataset: **Gazeta v1 test**
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  * Source max_length: **600**
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  * Target max_length: **200**
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- * no_repeat_ngram_size: **3**
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  * num_beams: **5**
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- | Model | R-1-f | R-2-f | R-L-f | chrF | METEOR | BLEU |
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- |:--------------------------|:------|:------|:------|:-------|:-------|:-----|
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- | [mbart_ru_sum_gazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) | **32.3** | 14.3 | **27.9** | **39.8** | **26.3** | **12.2** |
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- | [rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) | 32.2 | **14.4** | 27.8 | 39.6 | 25.3 | 11.9 |
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-
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  * Train dataset: **Gazeta v1 train**
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  * Test dataset: **Gazeta v2 test**
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  * Source max_length: **600**
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  * Target max_length: **200**
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- * no_repeat_ngram_size: **3**
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  * num_beams: **5**
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- | Model | R-1-f | R-2-f | R-L-f | chrF | METEOR | BLEU |
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- |:--------------------------|:------|:------|:------|:-------|:-------|:-----|
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- | [mbart_ru_sum_gazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) | **28.8** | **11.1** | **24.5** | **37.4** | **22.7** | **9.5** |
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- | [rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) | 28.5 | 11.0 | 24.2 | 36.8 | 21.2 | 8.6 |
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  Predicting all summaries:
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  ```python
 
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  output_ids = model.generate(
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  input_ids=input_ids,
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+ no_repeat_ngram_size=4
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  )[0]
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  summary = tokenizer.decode(output_ids, skip_special_tokens=True)
 
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  * Test dataset: **Gazeta v1 test**
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  * Source max_length: **600**
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  * Target max_length: **200**
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+ * no_repeat_ngram_size: **4**
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  * num_beams: **5**
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+ | Model | R-1-f | R-2-f | R-L-f | chrF | METEOR | BLEU | Avg char length |
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+ |:--------------------------|:------|:------|:------|:-------|:-------|:-----|:-----|
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+ | [mbart_ru_sum_gazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) | **32.4** | 14.3 | 28.0 | 39.7 | **26.4** | 12.1 | 371 |
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+ | [rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) | 32.2 | **14.4** | **28.1** | **39.8** | 25.7 | **12.3** | 330 |
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+ |
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  * Train dataset: **Gazeta v1 train**
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  * Test dataset: **Gazeta v2 test**
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  * Source max_length: **600**
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  * Target max_length: **200**
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+ * no_repeat_ngram_size: **4**
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  * num_beams: **5**
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+ | Model | R-1-f | R-2-f | R-L-f | chrF | METEOR | BLEU | Avg char length |
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+ |:--------------------------|:------|:------|:------|:-------|:-------|:-----|:-----|
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+ | [mbart_ru_sum_gazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) | **28.7** | **11.1** | **24.4** | **37.3** | **22.7** | **9.4** | 373 |
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+ | [rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) | 28.6 | 11.1 | **24.5** | 37.2 | 22.0 | 9.4 | 331 |
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  Predicting all summaries:
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  ```python