Initial commit: added pretrained model files

.gitattributes

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2-1.5B
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: fine_tuned_wp
+  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. -->
+
+# fine_tuned_wp
+
+This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0726
+- Accuracy: 0.9872
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.844         | 0.0285 | 100  | 0.3602          | 0.8626   |
+| 0.4928        | 0.0570 | 200  | 0.3831          | 0.9166   |
+| 0.2699        | 0.0856 | 300  | 0.2540          | 0.9682   |
+| 0.2095        | 0.1141 | 400  | 0.0900          | 0.9753   |
+| 0.1506        | 0.1426 | 500  | 0.0991          | 0.9801   |
+| 0.1505        | 0.1711 | 600  | 0.0511          | 0.9894   |
+| 0.0973        | 0.1997 | 700  | 0.1396          | 0.9750   |
+| 0.1486        | 0.2282 | 800  | 0.0892          | 0.9692   |
+| 0.1458        | 0.2567 | 900  | 0.0726          | 0.9872   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu126
+- Datasets 3.3.2
+- Tokenizers 0.21.0

added_tokens.json

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checkpoint-500/added_tokens.json

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checkpoint-500/config.json

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+  "_name_or_path": "Qwen/Qwen2-1.5B",
+  "architectures": [
+    "Qwen2ForSequenceClassification"
+  ],
+  "attention_dropout": 0.0,
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+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "problem_type": "single_label_classification",
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

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