Training complete

README.md

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+---
+library_name: transformers
+base_model: csebuetnlp/banglat5_nmt_bn_en
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: t5_nmt_bn_en_Eng_Banglish
+  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. -->
+
+# t5_nmt_bn_en_Eng_Banglish
+
+This model is a fine-tuned version of [csebuetnlp/banglat5_nmt_bn_en](https://huggingface.co/csebuetnlp/banglat5_nmt_bn_en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Model Preparation Time: 0.0109
+- Bleu: 2.7591
+
+## 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: 0.0005
+- train_batch_size: 32
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 128,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}