Model save

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-ar-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: opus-mt-ar-en-finetuned_augmented_synthetic_1-ar-to-en
+  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. -->
+
+# opus-mt-ar-en-finetuned_augmented_synthetic_1-ar-to-en
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6310
+- Bleu: 66.0531
+- Gen Len: 62.7622
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.9624        | 1.0   | 1043  | 0.7904          | 57.9585 | 65.1449 |
+| 0.7619        | 2.0   | 2086  | 0.7172          | 61.4081 | 64.038  |
+| 0.674         | 3.0   | 3129  | 0.6844          | 63.0849 | 63.1159 |
+| 0.6086        | 4.0   | 4172  | 0.6626          | 64.6547 | 62.3736 |
+| 0.5705        | 5.0   | 5215  | 0.6523          | 65.1199 | 62.7662 |
+| 0.5317        | 6.0   | 6258  | 0.6415          | 65.6392 | 62.7802 |
+| 0.4943        | 7.0   | 7301  | 0.6367          | 65.4163 | 62.5654 |
+| 0.4828        | 8.0   | 8344  | 0.6340          | 65.4508 | 62.3506 |
+| 0.4579        | 9.0   | 9387  | 0.6317          | 65.8711 | 62.6513 |
+| 0.4577        | 10.0  | 10430 | 0.6310          | 66.0531 | 62.7622 |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      62833
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 62833,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 62833,
+  "renormalize_logits": true,
+  "transformers_version": "4.32.0"
+}

pytorch_model.bin

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