End of training

README.md

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+---
+base_model: UrukHan/t5-russian-summarization
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-russian-summarization
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kornilova_eka/huggingface/runs/qlwnr551)
+# t5-russian-summarization
+
+This model is a fine-tuned version of [UrukHan/t5-russian-summarization](https://huggingface.co/UrukHan/t5-russian-summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6100
+- Rouge1: 14.6206
+- Rouge2: 3.6976
+- Rougel: 14.7351
+- Rougelsum: 14.6463
+- Gen Len: 15.3711
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.63          | 0.1769 | 5000  | 1.6100          | 14.6206 | 3.6976 | 14.7351 | 14.6463   | 15.3711 |
+| 1.6458        | 0.3538 | 10000 | 1.6100          | 14.6206 | 3.6976 | 14.7351 | 14.6463   | 15.3711 |
+| 1.6401        | 0.5306 | 15000 | 1.6100          | 14.6206 | 3.6976 | 14.7351 | 14.6463   | 15.3711 |
+| 1.6504        | 0.7075 | 20000 | 1.6100          | 14.6206 | 3.6976 | 14.7351 | 14.6463   | 15.3711 |
+| 1.6104        | 0.8844 | 25000 | 1.6100          | 14.6206 | 3.6976 | 14.7351 | 14.6463   | 15.3711 |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "max_length": 64,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.0.dev0"
+}