End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: en_to_dzo_helsinki_nlp_m2
+  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. -->
+
+# en_to_dzo_helsinki_nlp_m2
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-bible-big-mul-mul](https://huggingface.co/Helsinki-NLP/opus-mt-tc-bible-big-mul-mul) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3012
+- Bleu: 2.8367
+- Gen Len: 119.2242
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 9
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
+| 0.8419        | 1.0   | 562  | 0.5239          | 0.0    | 121.8458 |
+| 0.5144        | 2.0   | 1124 | 0.4316          | 1.0161 | 118.9429 |
+| 0.4296        | 3.0   | 1686 | 0.3774          | 0.8574 | 118.6066 |
+| 0.3759        | 4.0   | 2248 | 0.3462          | 1.4119 | 118.6577 |
+| 0.3351        | 5.0   | 2810 | 0.3250          | 2.0178 | 119.8008 |
+| 0.3065        | 6.0   | 3372 | 0.3123          | 2.5655 | 118.7538 |
+| 0.2839        | 7.0   | 3934 | 0.3037          | 3.0749 | 118.5455 |
+| 0.2665        | 8.0   | 4496 | 0.3023          | 2.9584 | 119.3423 |
+| 0.2441        | 9.0   | 5058 | 0.3012          | 2.8367 | 119.2242 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      69666
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 69666,
+  "eos_token_id": 524,
+  "forced_eos_token_id": 524,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 69666,
+  "transformers_version": "4.46.3"
+}