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README.md
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---
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base_model: jbochi/madlad400-3b-mt
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: madlad400-finetuned-nih-en
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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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# madlad400-finetuned-nih-en
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This model is a fine-tuned version of [jbochi/madlad400-3b-mt](https://huggingface.co/jbochi/madlad400-3b-mt) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.0439
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- Chrf: 30.0668
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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: 0.001
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- train_batch_size: 4
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Chrf |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 7.383 | 1.0 | 223 | 7.3002 | 22.5965 |
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| 7.4008 | 2.0 | 446 | 7.1718 | 25.7886 |
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| 7.2421 | 3.0 | 669 | 7.0958 | 28.2855 |
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| 6.9042 | 4.0 | 892 | 7.0573 | 29.3997 |
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| 7.1314 | 5.0 | 1115 | 7.0439 | 30.0668 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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