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Rawsand/NT_model_2

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: cc-by-4.0
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+ base_model: Helsinki-NLP/opus-mt-zh-en
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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: opus-mt-zh-en-finetuned-en-to-zh
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+ results: []
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+ ---
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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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+
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+ # opus-mt-zh-en-finetuned-en-to-zh
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0839
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+ - Bleu: 7.8213
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+ - Gen Len: 53.7486
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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+ | 13.7325 | 1.0 | 540 | 3.1163 | 7.7165 | 54.2061 |
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+ | 13.2107 | 1.9977 | 1078 | 3.0839 | 7.8213 | 53.7486 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "target_modules": [
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+ "q_proj",
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+ ],
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+ "task_type": "SEQ_2_SEQ_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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