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bartekupartek/
llm2vec-qwen2.5-0.5-instruct

Name: llm2vec-qwen2.5-0.5-instruct
Availability: InStock

safetensors

qwen2

generated_from_trainer

wikitext

Qwen/Qwen2.5-0.5B-Instruct

finetune

apache-2.0

model-index

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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

bartekupartek/llm2vec-qwen2.5-0.5-instruct

llm2vec-qwen2.5-0.5-instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bartekupartek/
llm2vec-qwen2.5-0.5-instruct