End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: mit
+base_model: vinai/bartpho-syllable
+tags:
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: BART_Translation_Finetune_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. -->
+
+# BART_Translation_Finetune_v0
+
+This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4390
+- Sacrebleu: 6.4288
+
+## 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 0.7274        | 1.0   | 468  | 0.6396          | 1.4512    |
+| 0.628         | 2.0   | 936  | 0.5901          | 2.1680    |
+| 0.5744        | 3.0   | 1404 | 0.5431          | 3.0785    |
+| 0.5348        | 4.0   | 1872 | 0.5141          | 3.9172    |
+| 0.5044        | 5.0   | 2340 | 0.4905          | 4.3428    |
+| 0.4773        | 6.0   | 2808 | 0.4758          | 4.8562    |
+| 0.4575        | 7.0   | 3276 | 0.4647          | 5.2799    |
+| 0.4372        | 8.0   | 3744 | 0.4572          | 5.5700    |
+| 0.429         | 9.0   | 4212 | 0.4499          | 5.8456    |
+| 0.4118        | 10.0  | 4680 | 0.4455          | 6.0842    |
+| 0.4056        | 11.0  | 5148 | 0.4424          | 6.2403    |
+| 0.3924        | 12.0  | 5616 | 0.4403          | 6.2796    |
+| 0.3858        | 13.0  | 6084 | 0.4396          | 6.3191    |
+| 0.386         | 14.0  | 6552 | 0.4389          | 6.4120    |
+| 0.3809        | 15.0  | 7020 | 0.4390          | 6.4288    |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "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"
+}