End of training

README.md

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+---
+license: cc-by-4.0
+base_model: Helsinki-NLP/opus-mt-tc-big-en-pt
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: model_opus-mt-tc-big-en-pt-finetuned
+  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. -->
+
+# model_opus-mt-tc-big-en-pt-finetuned
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-pt](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-pt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9648
+- Bleu: 46.5286
+
+## 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: 32
+- eval_batch_size: 64
+- 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
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2
+- Datasets 2.19.0
+- Tokenizers 0.15.2

generation_config.json

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+  "num_beams": 4,
+  "pad_token_id": 54775,
+  "renormalize_logits": true,
+  "transformers_version": "4.39.3"
+}

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training_args.bin

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