End of training

README.md

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+---
+library_name: transformers
+base_model: facebook/mbart-large-50-many-to-many-mmt
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mbart-large-50-finetuned-en-to-ba
+  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-finetuned-en-to-ba
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6372
+- Bleu: 6.3802
+- Gen Len: 47.071
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 0
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 12000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:------:|:-------:|
+| 2.1365        | 0.3476 | 1000  | 2.7681          | 2.9925 | 52.131  |
+| 1.4326        | 0.6952 | 2000  | 2.5934          | 4.1353 | 45.036  |
+| 1.2369        | 1.0428 | 3000  | 2.5647          | 5.0215 | 49.007  |
+| 1.0832        | 1.3903 | 4000  | 2.5558          | 5.0661 | 48.543  |
+| 1.036         | 1.7379 | 5000  | 2.5203          | 5.4399 | 47.738  |
+| 0.9671        | 2.0855 | 6000  | 2.5657          | 5.8593 | 49.639  |
+| 0.8711        | 2.4331 | 7000  | 2.5162          | 5.6784 | 47.706  |
+| 0.8561        | 2.7807 | 8000  | 2.5742          | 5.9194 | 47.395  |
+| 0.8103        | 3.1283 | 9000  | 2.6108          | 6.3266 | 47.508  |
+| 0.7534        | 3.4758 | 10000 | 2.6139          | 6.22   | 48.42   |
+| 0.747         | 3.8234 | 11000 | 2.6008          | 6.3408 | 46.571  |
+| 0.7123        | 4.1710 | 12000 | 2.6372          | 6.3802 | 47.071  |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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": "4.47.1"
+}