End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- opus_books
+metrics:
+- bleu
+model-index:
+- name: translation_1
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus_books
+      type: opus_books
+      config: en-ru
+      split: train
+      args: en-ru
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 5.03
+---
+
+<!-- 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. -->
+
+# translation_1
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the opus_books dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5005
+- Bleu: 5.03
+- Gen Len: 16.0434
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
+| 3.4771        | 1.0   | 875   | 2.8863          | 2.2211 | 16.4083 |
+| 2.9851        | 2.0   | 1750  | 2.7086          | 3.2474 | 16.4271 |
+| 2.8137        | 3.0   | 2625  | 2.6050          | 3.8481 | 16.378  |
+| 2.6962        | 4.0   | 3500  | 2.5268          | 4.3032 | 16.2734 |
+| 2.6439        | 5.0   | 4375  | 2.4694          | 4.5354 | 16.2414 |
+| 2.5633        | 6.0   | 5250  | 2.4227          | 4.8672 | 16.2483 |
+| 2.5122        | 7.0   | 6125  | 2.4068          | 5.0916 | 16.256  |
+| 2.693         | 8.0   | 7000  | 2.5069          | 5.0708 | 16.0449 |
+| 2.6754        | 9.0   | 7875  | 2.5003          | 5.0422 | 16.0389 |
+| 2.6714        | 10.0  | 8750  | 2.5003          | 5.0467 | 16.0357 |
+| 2.6679        | 11.0  | 9625  | 2.5003          | 5.0482 | 16.038  |
+| 2.6812        | 12.0  | 10500 | 2.5004          | 5.0456 | 16.0377 |
+| 2.6733        | 13.0  | 11375 | 2.5004          | 5.0456 | 16.036  |
+| 2.6802        | 14.0  | 12250 | 2.5005          | 5.0454 | 16.0403 |
+| 2.6652        | 15.0  | 13125 | 2.5005          | 5.0403 | 16.0391 |
+| 2.6718        | 16.0  | 14000 | 2.5005          | 5.0483 | 16.0403 |
+| 2.6756        | 17.0  | 14875 | 2.5005          | 5.0324 | 16.04   |
+| 2.6751        | 18.0  | 15750 | 2.5005          | 5.03   | 16.0434 |
+| 2.6689        | 19.0  | 16625 | 2.5005          | 5.03   | 16.0434 |
+| 2.6687        | 20.0  | 17500 | 2.5005          | 5.03   | 16.0434 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.2"
+}