Training complete

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: t5_base_fine_tuned_synthetic_en_de
+  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. -->
+
+# t5_base_fine_tuned_synthetic_en_de
+
+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: 0.3255
+- Sacrebleu: 34.6747
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 0.454         | 1.0   | 945  | 0.2922          | 34.8635   |
+| 0.0474        | 2.0   | 1890 | 0.3058          | 34.8379   |
+| 0.0421        | 3.0   | 2835 | 0.3144          | 34.8678   |
+| 0.039         | 4.0   | 3780 | 0.3234          | 34.7021   |
+| 0.0369        | 5.0   | 4725 | 0.3255          | 34.6747   |
+
+
+### 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": 1,
+  "max_new_tokens": 128,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

model.safetensors

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