Training complete

README.md

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+---
+license: apache-2.0
+base_model: dokyoungkim/wmt19-finetuned-law-de-to-en-2
+tags:
+- tanslation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: wmt19-finetuned-law-de-to-en-3
+  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. -->
+
+# wmt19-finetuned-law-de-to-en-3
+
+This model is a fine-tuned version of [dokyoungkim/wmt19-finetuned-law-de-to-en-2](https://huggingface.co/dokyoungkim/wmt19-finetuned-law-de-to-en-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2315
+- Bleu: 59.6972
+
+## 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: 40
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "length_penalty": 1.1,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.37.2"
+}

runs/Mar21_11-40-58_gpusvr021320/events.out.tfevents.1711034012.gpusvr021320.3500871.1

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