Rawsand/NT_model_2
Browse files
README.md
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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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<!-- 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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# opus-mt-zh-en-finetuned-en-to-zh
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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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## 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: 0.0002
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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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### Training results
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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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### Framework versions
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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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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 1,
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"lora_bias": false,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 2,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a9cd05f83a62635e16ff91296b5ebd5cf0f1617e3741d7cf768385f77cd6ffc
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size 307208
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runs/Dec19_13-41-03_d438beb54fc6/events.out.tfevents.1734615671.d438beb54fc6.710.6
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version https://git-lfs.github.com/spec/v1
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oid sha256:56230e0acde7f78cc16cf3d0b46a29b6792d28534bc5dee72e756dacd4f7ad38
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size 6216
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runs/Dec19_13-58-24_d438beb54fc6/events.out.tfevents.1734616715.d438beb54fc6.710.7
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version https://git-lfs.github.com/spec/v1
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size 7521
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:13e661fee47671b8eced32b02b2d54844177e456f3e0564ab7d55a5c9d886282
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size 5560
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