Rawsand/NT_model_2

README.md

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+---
+library_name: peft
+license: cc-by-4.0
+base_model: Helsinki-NLP/opus-mt-zh-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: opus-mt-zh-en
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# opus-mt-zh-en
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 2.8613
+- Bleu: 13.0199
+- Gen Len: 49.2694
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.002
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 216  | 3.1562          | 9.7872  | 49.7879 |
+| No log        | 2.0   | 432  | 3.0605          | 10.6493 | 49.7439 |
+| 3.6494        | 3.0   | 648  | 3.0039          | 11.4679 | 50.5029 |
+| 3.6494        | 4.0   | 864  | 2.9570          | 11.6395 | 48.376  |
+| 3.2441        | 5.0   | 1080 | 2.9336          | 12.1975 | 49.7039 |
+| 3.2441        | 6.0   | 1296 | 2.9141          | 12.6291 | 50.3876 |
+| 3.0929        | 7.0   | 1512 | 2.8906          | 12.5445 | 48.6929 |
+| 3.0929        | 8.0   | 1728 | 2.8789          | 12.7907 | 48.8441 |
+| 3.0929        | 9.0   | 1944 | 2.8535          | 13.0215 | 49.3418 |
+| 2.9838        | 10.0  | 2160 | 2.8613          | 13.0199 | 49.2694 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Helsinki-NLP/opus-mt-zh-en",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Dec20_08-03-03_d03aeb2b5ad9/events.out.tfevents.1734681784.d03aeb2b5ad9.733.0

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training_args.bin

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