Training complete

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- xlsum
+metrics:
+- rouge
+model-index:
+- name: mt5-small-xlsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xlsum
+      type: xlsum
+      config: ukrainian
+      split: train
+      args: ukrainian
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 1.1945
+---
+
+<!-- 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-small-xlsum
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the xlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8395
+- Rouge1: 1.1945
+- Rouge2: 0.1467
+- Rougel: 1.1902
+- Rougelsum: 1.196
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 11.9992       | 1.0   | 125  | 4.0495          | 0.3829 | 0.0    | 0.3905 | 0.3905    |
+| 5.8176        | 2.0   | 250  | 3.3431          | 0.491  | 0.0667 | 0.4988 | 0.4821    |
+| 4.9907        | 3.0   | 375  | 3.1548          | 0.6481 | 0.08   | 0.6766 | 0.6655    |
+| 4.6486        | 4.0   | 500  | 3.0347          | 1.0105 | 0.1467 | 1.0398 | 1.0274    |
+| 4.4541        | 5.0   | 625  | 2.9414          | 0.9581 | 0.1467 | 0.951  | 0.9643    |
+| 4.3195        | 6.0   | 750  | 2.8837          | 1.1129 | 0.1467 | 1.1245 | 1.1193    |
+| 4.2618        | 7.0   | 875  | 2.8473          | 1.1019 | 0.1467 | 1.1048 | 1.1224    |
+| 4.2228        | 8.0   | 1000 | 2.8395          | 1.1945 | 0.1467 | 1.1902 | 1.196     |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0"
+}