Model save

README.md

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+---
+base_model: facebook/mbart-large-50-many-to-many-mmt
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi
+  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. -->
+
+# mbart-large-50-many-to-many-mmt-finetuned-pt-to-en-arabic-hindi
+
+This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8373
+- Bleu: 5.0308
+- Gen Len: 52.3902
+
+## 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: 0.0002
+- train_batch_size: 64
+- eval_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 77   | 2.9700          | 1.8614 | 49.3137 |
+| No log        | 2.0   | 154  | 2.8490          | 2.477  | 49.817  |
+| No log        | 3.0   | 231  | 2.9014          | 2.9323 | 51.0426 |
+| No log        | 4.0   | 308  | 3.0640          | 3.7026 | 62.0698 |
+| No log        | 5.0   | 385  | 3.2683          | 3.9123 | 49.7686 |
+| No log        | 6.0   | 462  | 3.4488          | 4.2838 | 52.1925 |
+| 1.7841        | 7.0   | 539  | 3.5876          | 4.6755 | 53.1631 |
+| 1.7841        | 8.0   | 616  | 3.7173          | 4.4499 | 48.1984 |
+| 1.7841        | 9.0   | 693  | 3.7868          | 4.8237 | 51.9214 |
+| 1.7841        | 10.0  | 770  | 3.8373          | 5.0308 | 52.3902 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.40.2"
+}

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