qwen_new_mage_tldr_callback10

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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_tldr_callback10
+  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_tldr_callback10
+
+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: 0.1451
+- Accuracy: 0.9682
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8181        | 0.0393 | 100  | 0.2443          | 0.9050   |
+| 0.4998        | 0.0785 | 200  | 0.2800          | 0.8754   |
+| 0.4488        | 0.1178 | 300  | 0.5770          | 0.8710   |
+| 0.3996        | 0.1570 | 400  | 0.1956          | 0.9139   |
+| 0.298         | 0.1963 | 500  | 0.3754          | 0.9307   |
+| 0.2918        | 0.2356 | 600  | 0.7744          | 0.8905   |
+| 0.2906        | 0.2748 | 700  | 0.2349          | 0.9214   |
+| 0.2113        | 0.3141 | 800  | 0.2182          | 0.9443   |
+| 0.2552        | 0.3534 | 900  | 0.1959          | 0.9501   |
+| 0.227         | 0.3926 | 1000 | 0.1768          | 0.9496   |
+| 0.2203        | 0.4319 | 1100 | 0.1711          | 0.9439   |
+| 0.2212        | 0.4711 | 1200 | 0.1652          | 0.9585   |
+| 0.2153        | 0.5104 | 1300 | 0.1695          | 0.9567   |
+| 0.1975        | 0.5497 | 1400 | 0.1776          | 0.9536   |
+| 0.1866        | 0.5889 | 1500 | 0.1516          | 0.9602   |
+| 0.2209        | 0.6282 | 1600 | 0.1139          | 0.9691   |
+| 0.1788        | 0.6675 | 1700 | 0.1995          | 0.9563   |
+| 0.1808        | 0.7067 | 1800 | 0.1857          | 0.9554   |
+| 0.2401        | 0.7460 | 1900 | 0.1397          | 0.9686   |
+| 0.1602        | 0.7852 | 2000 | 0.1974          | 0.9620   |
+| 0.2206        | 0.8245 | 2100 | 0.1392          | 0.9633   |
+| 0.1609        | 0.8638 | 2200 | 0.1904          | 0.9620   |
+| 0.2108        | 0.9030 | 2300 | 0.1774          | 0.9611   |
+| 0.1408        | 0.9423 | 2400 | 0.1598          | 0.9669   |
+| 0.1696        | 0.9815 | 2500 | 0.1694          | 0.9660   |
+| 0.1231        | 1.0208 | 2600 | 0.1451          | 0.9682   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu126
+- Datasets 3.3.2
+- Tokenizers 0.21.0

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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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