End of training

README.md

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+---
+base_model: UrukHan/t5-russian-summarization
+tags:
+- generated_from_trainer
+model-index:
+- name: Urukhan_based
+  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. -->
+
+# Urukhan_based
+
+This model is a fine-tuned version of [UrukHan/t5-russian-summarization](https://huggingface.co/UrukHan/t5-russian-summarization) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.5822
+- eval_rouge1: 12.4365
+- eval_rouge2: 2.3859
+- eval_rougeL: 12.4889
+- eval_rougeLsum: 12.4796
+- eval_gen_len: 15.7862
+- eval_runtime: 46.8578
+- eval_samples_per_second: 10.18
+- eval_steps_per_second: 0.64
+- epoch: 1.18
+- step: 10000
+
+## 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: 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: 3
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "max_length": 256,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}