Model save

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-de-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: german_to_english
+  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. -->
+
+# german_to_english
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-NLP/opus-mt-de-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5712
+- Bleu: 63.9999
+- Gen Len: 7.0416
+
+## 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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.8374        | 1.0   | 385  | 0.6619          | 60.2542 | 7.054   |
+| 0.4935        | 2.0   | 770  | 0.5712          | 63.9999 | 7.0416  |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      58100
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 58100,
+  "do_sample": true,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "max_new_tokens": 20,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "renormalize_logits": true,
+  "temperature": 0,
+  "top_p": 0.7,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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