|
--- |
|
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 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
