End of training

README.md

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+---
+base_model: sanikaska/rut5_gazeta_title_generation
+tags:
+- generated_from_trainer
+datasets:
+- gazeta
+metrics:
+- rouge
+model-index:
+- name: rut5_gazeta_title_generation
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: gazeta
+      type: gazeta
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.0594
+---
+
+<!-- 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. -->
+
+# rut5_gazeta_title_generation
+
+This model is a fine-tuned version of [sanikaska/rut5_gazeta_title_generation](https://huggingface.co/sanikaska/rut5_gazeta_title_generation) on the gazeta dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5882
+- Rouge1: 0.0594
+- Rouge2: 0.0105
+- Rougel: 0.0592
+- Rougelsum: 0.0592
+- Gen Len: 9.6443
+
+## 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: 2e-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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.756         | 1.0   | 2500  | 2.4833          | 0.0516 | 0.0087 | 0.0514 | 0.0513    | 10.4538 |
+| 2.4648        | 2.0   | 5000  | 2.4972          | 0.0583 | 0.0108 | 0.0582 | 0.0581    | 9.9832  |
+| 2.306         | 3.0   | 7500  | 2.5375          | 0.0594 | 0.0104 | 0.0592 | 0.0592    | 9.4259  |
+| 2.1811        | 4.0   | 10000 | 2.5882          | 0.0594 | 0.0105 | 0.0592 | 0.0592    | 9.6443  |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.2"
+}

runs/May15_19-55-23_438d9bc5aafc/events.out.tfevents.1715802927.438d9bc5aafc.454.1

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