cc100-zh-Hans-unsupervised-20241110-165558 – AI Model by autoprogrammer | AlphaNeural AI

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autoprogrammer/
cc100-zh-Hans-unsupervised-20241110-165558

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text-generation

generated_from_trainer

meta-llama/Llama-3.2-1B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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cc100-zh-Hans-unsupervised-20241110-165558

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the cc100 dataset. It achieves the following results on the evaluation set:

Loss: 3.5122

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: 24
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss
4.3331	0.0833	250	4.3223
4.07	0.1667	500	4.1778
3.8022	0.25	750	4.1002
4.2938	0.3333	1000	3.9540
4.1352	0.4167	1250	3.9815
2.9199	0.5	1500	3.8021
4.3933	0.5833	1750	3.7528
3.6174	0.6667	2000	3.6856
3.5882	0.75	2250	3.6198
3.847	0.8333	2500	3.5746
3.5199	0.9167	2750	3.5320
3.735	1.0	3000	3.5122

Framework versions

Transformers 4.45.2
Pytorch 2.4.1
Datasets 2.19.1
Tokenizers 0.20.1