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
+model-index:
+- name: medical_en_de_9_5
+ 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. -->
+
+# medical_en_de_9_5
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2061
+
+## 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: 0.0004
+- train_batch_size: 8
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6319 | 4.35 | 3000 | 0.7730 |
+| 0.1332 | 8.71 | 6000 | 0.2061 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

generation_config.json

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+{
+ "bad_words_ids": [
+ [
+ 58100
+ ]
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+ "bos_token_id": 0,
+ "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": "4.34.0.dev0"
+}

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