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_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_synthetic_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: 0.6421
+- Bleu: 64.9533
+- Gen Len: 66.193
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.9547        | 1.0   | 1043  | 0.8017          | 56.8271 | 68.803  |
+| 0.7598        | 2.0   | 2086  | 0.7281          | 60.44   | 67.238  |
+| 0.672         | 3.0   | 3129  | 0.6984          | 62.5171 | 66.992  |
+| 0.6063        | 4.0   | 4172  | 0.6737          | 63.4355 | 66.075  |
+| 0.5641        | 5.0   | 5215  | 0.6607          | 64.2124 | 66.145  |
+| 0.5188        | 6.0   | 6258  | 0.6537          | 64.5988 | 66.547  |
+| 0.4934        | 7.0   | 7301  | 0.6467          | 64.7664 | 66.528  |
+| 0.4858        | 8.0   | 8344  | 0.6458          | 64.756  | 66.225  |
+| 0.468         | 9.0   | 9387  | 0.6427          | 64.9386 | 66.086  |
+| 0.4474        | 10.0  | 10430 | 0.6421          | 64.9533 | 66.193  |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- 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": "4.33.0"
+}

pytorch_model.bin

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