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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: BERT2BERT_finetuned
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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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# BERT2BERT_finetuned
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This model is a fine-tuned version of [JulienRPA/BERT2BERT_pretrained_LC-QuAD_2.0](https://huggingface.co/JulienRPA/BERT2BERT_pretrained_LC-QuAD_2.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4253
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- Bleu: 95.481
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- Em: 0.6019
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- Rm: 0.6547
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- Gen Len: 80.4676
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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: 5e-05
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- train_batch_size: 64
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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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- lr_scheduler_warmup_steps: 2000
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- num_epochs: 300.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Em | Rm | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:-------:|
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| 2.9129 | 50.0 | 1000 | 0.3861 | 92.7571 | 0.2302 | 0.2422 | 79.2806 |
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| 0.052 | 100.0 | 2000 | 0.3532 | 95.3257 | 0.5156 | 0.5635 | 80.6859 |
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| 0.0155 | 150.0 | 3000 | 0.4280 | 94.8017 | 0.5659 | 0.6355 | 79.3165 |
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| 0.0086 | 200.0 | 4000 | 0.4077 | 95.5885 | 0.5803 | 0.6283 | 80.6978 |
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| 0.0051 | 250.0 | 5000 | 0.4169 | 95.5923 | 0.6019 | 0.6523 | 80.6523 |
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| 0.0038 | 300.0 | 6000 | 0.4253 | 95.481 | 0.6019 | 0.6547 | 80.4676 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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