End of training
Browse files- README.md +75 -0
- generation_config.json +6 -0
README.md
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---
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license: apache-2.0
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base_model: Buseak/md_mt5_1911_v16_deneme
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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: md_mt5_1911_v18_retrain
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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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# md_mt5_1911_v18_retrain
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This model is a fine-tuned version of [Buseak/md_mt5_1911_v16_deneme](https://huggingface.co/Buseak/md_mt5_1911_v16_deneme) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1754
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- Bleu: 0.7623
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- Gen Len: 18.7866
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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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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| 0.6365 | 1.0 | 1250 | 0.3435 | 0.6788 | 18.7694 |
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| 0.5732 | 2.0 | 2500 | 0.3064 | 0.7037 | 18.7644 |
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| 0.5375 | 3.0 | 3750 | 0.2819 | 0.7114 | 18.7706 |
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| 0.4912 | 4.0 | 5000 | 0.2549 | 0.7237 | 18.77 |
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| 0.4648 | 5.0 | 6250 | 0.2394 | 0.7354 | 18.772 |
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| 0.4321 | 6.0 | 7500 | 0.2245 | 0.7335 | 18.7762 |
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| 0.4159 | 7.0 | 8750 | 0.2131 | 0.7446 | 18.778 |
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| 0.4044 | 8.0 | 10000 | 0.2030 | 0.7478 | 18.7776 |
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| 0.3889 | 9.0 | 11250 | 0.1963 | 0.7496 | 18.7852 |
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| 0.3798 | 10.0 | 12500 | 0.1896 | 0.7524 | 18.7834 |
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| 0.3733 | 11.0 | 13750 | 0.1836 | 0.757 | 18.7854 |
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| 0.3623 | 12.0 | 15000 | 0.1803 | 0.7596 | 18.7852 |
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| 0.3583 | 13.0 | 16250 | 0.1775 | 0.7618 | 18.7878 |
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| 0.3643 | 14.0 | 17500 | 0.1758 | 0.7616 | 18.7828 |
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| 0.3609 | 15.0 | 18750 | 0.1754 | 0.7623 | 18.7866 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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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