End of training

README.md

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+---
+license: cc-by-4.0
+base_model: Helsinki-NLP/opus-mt-en-de
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: translation-eng-ger
+  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. -->
+
+# translation-eng-ger
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5570
+- Bleu: 53.1421
+- Gen Len: 9.2669
+
+## 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
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.6154        | 1.0   | 9693  | 0.5709          | 52.364  | 9.2343  |
+| 0.5144        | 2.0   | 19386 | 0.5570          | 53.1421 | 9.2669  |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      58100
+    ]
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+  "decoder_start_token_id": 58100,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 58100,
+  "renormalize_logits": true,
+  "transformers_version": "4.35.2"
+}

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runs/Jan31_06-23-52_b6fd02d3bed7/events.out.tfevents.1706682235.b6fd02d3bed7.1450.0

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