metadata
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
llm2vec-qwen2.5-0.5-instruct
This model is a fine-tuned version of 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