melmoth
/

ru-rope-t5-small-instruct

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 ---
 library_name: transformers
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 ---
 library_name: transformers
+license: apache-2.0
+datasets:
+- Vikhrmodels/Flan_translated_300k
+- d0rj/OpenOrca-ru
+language:
+- ru
+- en
 ---
+# Model Card for ru-rope-t5-small-instruct
+The Russian Rotary Position Embedding T5 model of small version after instruct tuning
 ## Model Details
+The model was trained in a Russian corpus with a mix of English using the [Mixture-Of-Denoisers](https://arxiv.org/abs/2205.05131v1) pre-training method by [UL2](https://huggingface.co/google/ul2) on 1024 length sequences.
+Training using Flash Attention 2 is available because of the replacement of bias with rotary encoding.
+- **Model type:** [RoPE T5](https://huggingface.co/melmoth/ru-rope-t5-small-instruct/blob/main/t5.py)
+- **Language(s) (NLP):** Russian, English
 ## Uses
+Finetuning for downstream tasks
 ## Bias, Risks, and Limitations
+Despite the instructional tuning, it is not recommended to use in zero-shot mode due to the small size
 ## Training Details
 ### Training Data
+A corpus of Russian texts from [Vikhr](https://huggingface.co/Vikhrmodels) filtered by [FRED-T5-1.7B](https://huggingface.co/ai-forever/FRED-T5-1.7B) perplexy. Instructions are translated English set
 ### Training Procedure
+Using AdamWScale instead of Adafactor for stable learning without loss explosions
 #### Metrics
+![rsg](https://huggingface.co/melmoth/ru-rope-t5-small-instruct/blob/main/rsg_results.png)
 ## Model Card Contact
+[@TheMelmoth](https://t.me/TheMelmoth)