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
+  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
+
+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: 4.0116
+- Bleu: 3.9795
+- Gen Len: 46.1292
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 2.981         | 1.0   | 989  | 2.6925          | 2.0264 | 53.1604 |
+| 2.1381        | 2.0   | 1978 | 2.6576          | 2.6268 | 47.2153 |
+| 1.6501        | 3.0   | 2967 | 2.7743          | 2.9549 | 45.5091 |
+| 1.2518        | 4.0   | 3956 | 2.9517          | 3.1862 | 49.9585 |
+| 0.9188        | 5.0   | 4945 | 3.1741          | 3.3758 | 46.0227 |
+| 0.6615        | 6.0   | 5934 | 3.3934          | 3.4223 | 42.5911 |
+| 0.4714        | 7.0   | 6923 | 3.6090          | 3.8522 | 48.1263 |
+| 0.3283        | 8.0   | 7912 | 3.8027          | 3.7817 | 46.4619 |
+| 0.2291        | 9.0   | 8901 | 3.9314          | 3.9939 | 47.2651 |
+| 0.163         | 10.0  | 9890 | 4.0116          | 3.9795 | 46.1292 |
+
+
+### 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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+{
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+  "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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