Final One
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README.md
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---
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base_model: csebuetnlp/banglat5
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tags:
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- generated_from_trainer
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model-index:
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- name: sentenec30kv2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sentenec30kv2
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This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1100
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- eval_bleu: 88.2797
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- eval_Val Accuracy: 0.683
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- eval_Word_accuracy: 0.9845
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- eval_gen_len: 14.3727
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- eval_runtime: 141.8398
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- eval_samples_per_second: 21.151
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- eval_steps_per_second: 1.325
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- epoch: 9.0
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- step: 4005
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 54
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 200
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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runs/Feb03_12-23-04_7a75623abd78/events.out.tfevents.1706962988.7a75623abd78.482.0
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