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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: llm2vec-qwen2.5-0.5-instruct
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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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# llm2vec-qwen2.5-0.5-instruct
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7920
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- Accuracy: 0.6351
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.0083 | 100 | 2.3376 | 0.5511 |
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| No log | 0.0166 | 200 | 2.1736 | 0.5765 |
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| No log | 0.0248 | 300 | 2.0679 | 0.5930 |
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| No log | 0.0331 | 400 | 1.9839 | 0.6056 |
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| 2.2761 | 0.0414 | 500 | 1.9611 | 0.6085 |
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| 2.2761 | 0.0497 | 600 | 1.9054 | 0.6203 |
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| 2.2761 | 0.0580 | 700 | 1.8838 | 0.6242 |
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| 2.2761 | 0.0662 | 800 | 1.8403 | 0.6296 |
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| 2.2761 | 0.0745 | 900 | 1.8235 | 0.6300 |
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| 1.8887 | 0.0828 | 1000 | 1.7920 | 0.6351 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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