Training complete

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- gazeta
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-gazeta-ru
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: gazeta
+      type: gazeta
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 2.9422
+---
+
+<!-- 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-finetuned-gazeta-ru
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the gazeta dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3287
+- Rouge1: 2.9422
+- Rouge2: 0.25
+- Rougel: 2.9053
+- Rougelsum: 2.9131
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 5.5708        | 1.0   | 1690  | 3.3106          | 1.8563 | 0.1911 | 1.8332 | 1.8348    |
+| 4.0219        | 2.0   | 3380  | 3.3048          | 2.2018 | 0.1649 | 2.1978 | 2.2022    |
+| 3.7276        | 3.0   | 5070  | 3.3320          | 3.2293 | 0.2173 | 3.194  | 3.2039    |
+| 3.5835        | 4.0   | 6760  | 3.3308          | 3.2189 | 0.2932 | 3.1825 | 3.1841    |
+| 3.4944        | 5.0   | 8450  | 3.3104          | 2.8833 | 0.1964 | 2.8521 | 2.8537    |
+| 3.4203        | 6.0   | 10140 | 3.3032          | 2.9914 | 0.2723 | 2.9516 | 2.9542    |
+| 3.3774        | 7.0   | 11830 | 3.3232          | 2.9982 | 0.3063 | 2.965  | 2.9642    |
+| 3.348         | 8.0   | 13520 | 3.3287          | 2.9422 | 0.25   | 2.9053 | 2.9131    |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

runs/Aug10_20-26-12_97d016264cf1/events.out.tfevents.1723321574.97d016264cf1.271.0

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