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_backMT_cleaned-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_backMT_cleaned-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: 1.1873
+- Bleu: 54.6502
+- Gen Len: 34.938
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 1.5555        | 1.0   | 1035  | 1.3848          | 45.7987 | 36.194  |
+| 1.2715        | 2.0   | 2070  | 1.2807          | 49.7556 | 35.83   |
+| 1.1156        | 3.0   | 3105  | 1.2299          | 51.7879 | 35.469  |
+| 1.0079        | 4.0   | 4140  | 1.2140          | 52.4265 | 35.021  |
+| 0.9166        | 5.0   | 5175  | 1.1957          | 53.4598 | 35.017  |
+| 0.859         | 6.0   | 6210  | 1.1920          | 54.1821 | 35.077  |
+| 0.8268        | 7.0   | 7245  | 1.1891          | 54.419  | 35.022  |
+| 0.7777        | 8.0   | 8280  | 1.1863          | 54.4714 | 34.907  |
+| 0.7522        | 9.0   | 9315  | 1.1867          | 54.537  | 34.906  |
+| 0.7441        | 10.0  | 10350 | 1.1873          | 54.6502 | 34.938  |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- 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": "4.32.1"
+}

pytorch_model.bin

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