| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-0.5B-Instruct |
| tags: |
| - generated_from_trainer |
| datasets: |
| - wikitext |
| metrics: |
| - accuracy |
| model-index: |
| - name: llm2vec-qwen2.5-0.5-instruct |
| results: |
| - task: |
| name: Masked Language Modeling |
| type: fill-mask |
| dataset: |
| name: wikitext wikitext-103-raw-v1 |
| type: wikitext |
| args: wikitext-103-raw-v1 |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.629556877924779 |
| --- |
| |
| <!-- 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. --> |
|
|
| # llm2vec-qwen2.5-0.5-instruct |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the wikitext wikitext-103-raw-v1 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8264 |
| - Accuracy: 0.6296 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | No log | 0.0083 | 100 | 2.3376 | 0.5511 | |
| | No log | 0.0166 | 200 | 2.1736 | 0.5765 | |
| | No log | 0.0248 | 300 | 2.0679 | 0.5930 | |
| | No log | 0.0331 | 400 | 1.9839 | 0.6056 | |
| | 2.2761 | 0.0414 | 500 | 1.9611 | 0.6085 | |
| | 2.2761 | 0.0497 | 600 | 1.9054 | 0.6203 | |
| | 2.2761 | 0.0580 | 700 | 1.8838 | 0.6242 | |
| | 2.2761 | 0.0662 | 800 | 1.8403 | 0.6296 | |
| | 2.2761 | 0.0745 | 900 | 1.8235 | 0.6300 | |
| | 1.8887 | 0.0828 | 1000 | 1.7920 | 0.6351 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.40.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.0 |
| - Tokenizers 0.19.1 |
|
|
