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Qwen2-1.5B-Instruct-Codeforces

Text Classification
Transformers
Safetensors
qwen2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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Files changed (40) hide show
  1. .gitattributes +1 -0
  2. README.md +63 -0
  3. added_tokens.json +5 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2-1.5B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: training_results
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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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+ # training_results
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3345
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+ - F1: 0.7726
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 1
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+ - seed: 2025
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+ - optimizer: Use adamw_torch 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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.2853 | 1.0 | 1071 | 0.2093 | 0.7665 |
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+ | 0.0465 | 2.0 | 2142 | 0.2988 | 0.7690 |
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+ | 0.0143 | 3.0 | 3213 | 0.3345 | 0.7726 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ "_name_or_path": "Qwen/Qwen2-1.5B-Instruct",
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+ "Qwen2ForSequenceClassification"
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+ "hidden_act": "silu",
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+ "hidden_size": 1536,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4",
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+ "5": "LABEL_5",
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+ "6": "LABEL_6",
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+ },
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+ "max_position_embeddings": 32768,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 12,
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+ "pad_token_id": 151643,
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+ "problem_type": "multi_label_classification",
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.48.3",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
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