End of training

README.md

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+---
+library_name: transformers
+base_model: iamTangsang/MarianMT-Nepali-to-English
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: MarianMT-Nepali-to-English-Synthetic-Pretrain-Continued
+  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. -->
+
+# MarianMT-Nepali-to-English-Synthetic-Pretrain-Continued
+
+This model is a fine-tuned version of [iamTangsang/MarianMT-Nepali-to-English](https://huggingface.co/iamTangsang/MarianMT-Nepali-to-English) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0324
+- Bleu: 30.2355
+- Gen Len: 73.8317
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step   | Bleu    | Gen Len | Validation Loss |
+|:-------------:|:------:|:------:|:-------:|:-------:|:---------------:|
+| 1.1924        | 0.0561 | 12000  | 26.1232 | 74.765  | 1.3707          |
+| 1.0978        | 0.1122 | 24000  | 26.0469 | 78.0433 | 1.2622          |
+| 1.0316        | 0.1684 | 36000  | 28.0954 | 73.6692 | 1.2075          |
+| 0.9993        | 0.2245 | 48000  | 28.1497 | 75.1633 | 1.1745          |
+| 0.9651        | 0.2806 | 60000  | 29.1482 | 75.9908 | 1.1428          |
+| 0.9415        | 0.3367 | 72000  | 27.0537 | 82.6383 | 1.1183          |
+| 0.9251        | 0.3928 | 84000  | 27.637  | 79.2592 | 1.0864          |
+| 0.9008        | 0.4489 | 96000  | 29.0405 | 76.6583 | 1.0683          |
+| 0.8726        | 0.5051 | 108000 | 29.923  | 75.4483 | 1.0494          |
+| 0.8701        | 0.5612 | 120000 | 29.2328 | 77.2858 | 1.0316          |
+| 0.8546        | 0.6173 | 132000 | 29.6585 | 76.1308 | 1.0185          |
+| 0.8392        | 0.6734 | 144000 | 30.5079 | 78.0417 | 1.0072          |
+| 0.9316        | 0.7295 | 156000 | 29.264  | 71.7958 | 1.1055          |
+| 0.9008        | 0.7857 | 168000 | 27.2107 | 80.45   | 1.0779          |
+| 0.8982        | 0.8418 | 180000 | 27.7493 | 78.6583 | 1.0645          |
+| 0.8655        | 0.8979 | 192000 | 28.2546 | 79.6033 | 1.0438          |
+| 0.8654        | 0.9540 | 204000 | 1.0324  | 30.2355 | 73.8317         |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      64171
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 64171,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 64171,
+  "renormalize_logits": true,
+  "transformers_version": "4.45.2"
+}