Training complete

README.md

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+---
+base_model: kravchenko/uk-mt5-base
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- xlsum
+metrics:
+- rouge
+model-index:
+- name: uk-mt5-base-xlsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xlsum
+      type: xlsum
+      config: ukrainian
+      split: validation
+      args: ukrainian
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 3.8556
+---
+
+<!-- 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. -->
+
+# uk-mt5-base-xlsum
+
+This model is a fine-tuned version of [kravchenko/uk-mt5-base](https://huggingface.co/kravchenko/uk-mt5-base) on the xlsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3660
+- Rouge1: 3.8556
+- Rouge2: 1.5556
+- Rougel: 3.7833
+- Rougelsum: 3.6889
+
+## 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 5.31          | 1.0   | 375  | 2.5055          | 2.3333 | 0.8    | 2.3143 | 2.3238    |
+| 3.254         | 2.0   | 750  | 2.4034          | 3.5444 | 1.1111 | 3.5333 | 3.4833    |
+| 2.9813        | 3.0   | 1125 | 2.3844          | 3.7278 | 1.4444 | 3.6889 | 3.6333    |
+| 2.8117        | 4.0   | 1500 | 2.3785          | 3.3222 | 1.1111 | 3.2556 | 3.2167    |
+| 2.681         | 5.0   | 1875 | 2.3671          | 4.1667 | 1.5556 | 4.0667 | 4.0444    |
+| 2.5825        | 6.0   | 2250 | 2.3705          | 3.6889 | 1.5556 | 3.6    | 3.5333    |
+| 2.5151        | 7.0   | 2625 | 2.3654          | 3.6889 | 1.5556 | 3.6    | 3.5333    |
+| 2.4798        | 8.0   | 3000 | 2.3660          | 3.8556 | 1.5556 | 3.7833 | 3.6889    |
+
+
+### 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",
+  "use_cache": false
+}