Model save

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: google/mt5-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-large-gramatika1500k
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mt5-large-gramatika1500k
+
+This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0471
+- Rouge1: 75.56
+- Rouge2: 72.1272
+- Rougel: 75.5131
+- Rougelsum: 75.5134
+- Gen Len: 18.4427
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adafactor
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1109        | 1.33  | 100000 | 0.0567          | 75.0228 | 71.1923 | 74.9653 | 74.9652   | 18.4441 |
+| 0.0572        | 2.67  | 200000 | 0.0494          | 75.3858 | 71.8285 | 75.3356 | 75.334    | 18.4427 |
+| 0.0431        | 4.0   | 300000 | 0.0471          | 75.56   | 72.1272 | 75.5131 | 75.5134   | 18.4427 |
+| 0.0332        | 5.33  | 400000 | 0.0486          | 75.6167 | 72.2424 | 75.5734 | 75.5726   | 18.4424 |
+| 0.0277        | 6.67  | 500000 | 0.0490          | 75.6749 | 72.3462 | 75.6327 | 75.6317   | 18.4428 |
+| 0.0236        | 8.0   | 600000 | 0.0501          | 75.6924 | 72.3891 | 75.6502 | 75.6508   | 18.4430 |
+| 0.0202        | 9.34  | 700000 | 0.0525          | 75.7134 | 72.4174 | 75.6724 | 75.6714   | 18.4427 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 1.11.0a0+b6df043
+- Datasets 2.12.0
+- Tokenizers 0.13.3

generation_config.json

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+}

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