Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- wer
+model-index:
+- name: 10_randomization_model
+  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. -->
+
+# 10_randomization_model
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1399
+- Bleu: 0.0001
+- Wer: 0.9311
+- Rougel: 0.1663
+- Gen Len: 18.9987
+
+## 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: 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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Wer    | Rougel | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:-------:|
+| 0.716         | 0.16  | 1000  | 0.2572          | 0.0001 | 0.932  | 0.1648 | 18.9987 |
+| 0.2981        | 0.32  | 2000  | 0.2055          | 0.0001 | 0.9317 | 0.1655 | 18.9987 |
+| 0.2596        | 0.48  | 3000  | 0.1836          | 0.0001 | 0.9315 | 0.1658 | 18.9987 |
+| 0.2371        | 0.64  | 4000  | 0.1685          | 0.0001 | 0.9314 | 0.1659 | 18.9987 |
+| 0.2266        | 0.8   | 5000  | 0.1616          | 0.0001 | 0.9313 | 0.1661 | 18.9987 |
+| 0.2134        | 0.96  | 6000  | 0.1531          | 0.0001 | 0.9313 | 0.1662 | 18.9987 |
+| 0.2035        | 1.12  | 7000  | 0.1505          | 0.0001 | 0.9312 | 0.1662 | 18.9987 |
+| 0.1973        | 1.28  | 8000  | 0.1466          | 0.0001 | 0.9312 | 0.1663 | 18.9987 |
+| 0.1942        | 1.44  | 9000  | 0.1430          | 0.0001 | 0.9312 | 0.1663 | 18.9987 |
+| 0.1905        | 1.6   | 10000 | 0.1416          | 0.0001 | 0.9312 | 0.1663 | 18.9987 |
+| 0.1892        | 1.76  | 11000 | 0.1402          | 0.0001 | 0.9312 | 0.1663 | 18.9987 |
+| 0.1867        | 1.92  | 12000 | 0.1399          | 0.0001 | 0.9311 | 0.1663 | 18.9987 |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.3.0.dev20240122+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.1"
+}