End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: IAmSkyDra/BARTBana_v4
+tags:
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: BARTBana_Translation_InsertSwap_v0
+  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. -->
+
+# BARTBana_Translation_InsertSwap_v0
+
+This model is a fine-tuned version of [IAmSkyDra/BARTBana_v4](https://huggingface.co/IAmSkyDra/BARTBana_v4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0372
+- Sacrebleu: 10.1870
+
+## 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: 100
+- eval_batch_size: 100
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|
+| 0.1353        | 1.0   | 13718 | 0.0911          | 9.0612    |
+| 0.0672        | 2.0   | 27436 | 0.0456          | 9.9443    |
+| 0.0529        | 3.0   | 41154 | 0.0372          | 10.1870   |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.48.1"
+}