Model save

.gitattributes

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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-large-gramatika161k-b16-lr0.001
+  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-gramatika161k-b16-lr0.001
+
+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: 0.1429
+- Rouge1: 71.0622
+- Rouge2: 65.0219
+- Rougel: 70.921
+- Rougelsum: 70.9407
+- Gen Len: 18.3295
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adafactor
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.3954        | 0.63  | 5000  | 0.1851          | 69.5715 | 62.3503 | 69.3784 | 69.3899   | 18.3461 |
+| 0.1746        | 1.27  | 10000 | 0.1537          | 70.6244 | 64.1779 | 70.4518 | 70.4717   | 18.3410 |
+| 0.123         | 1.9   | 15000 | 0.1429          | 71.0622 | 65.0219 | 70.921  | 70.9407   | 18.3295 |
+| 0.0758        | 2.54  | 20000 | 0.1468          | 71.5151 | 65.7486 | 71.3742 | 71.3959   | 18.3246 |
+| 0.0568        | 3.17  | 25000 | 0.1603          | 71.6869 | 66.1031 | 71.5594 | 71.5794   | 18.3302 |
+| 0.0327        | 3.81  | 30000 | 0.1556          | 71.9011 | 66.4738 | 71.7817 | 71.8013   | 18.3311 |
+| 0.0196        | 4.44  | 35000 | 0.1782          | 72.0041 | 66.6645 | 71.886  | 71.9038   | 18.3293 |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 1.11.0a0+b6df043
+- Datasets 2.12.0
+- Tokenizers 0.13.3

generation_config.json

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+}

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