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snow-leaoprd/
tinyllama-lora-finetuned-howto

Name: tinyllama-lora-finetuned-howto
Availability: InStock

TinyLlama/TinyLlama-1.1B-Chat-v1.0

apache-2.0

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tinyllama-lora-finetuned-howto

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.5784

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: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.6684	1.0	4	2.8707
2.5353	2.0	8	2.8572
2.5517	3.0	12	2.8328
2.5643	4.0	16	2.8103
2.4755	5.0	20	2.7889
2.6151	6.0	24	2.7682
2.6296	7.0	28	2.7448
2.5886	8.0	32	2.7221
2.4931	9.0	36	2.7000
2.3930	10.0	40	2.6795
2.4767	11.0	44	2.6651
2.2675	12.0	48	2.6471
2.5827	13.0	52	2.6343
2.2991	14.0	56	2.6193
2.4421	15.0	60	2.6031
2.5563	16.0	64	2.5950
2.4413	17.0	68	2.5885
2.4433	18.0	72	2.5852
2.3778	19.0	76	2.5804
2.3322	20.0	80	2.5784

Framework versions

PEFT 0.19.1
Transformers 5.14.1
Pytorch 2.13.0
Datasets 5.0.0
Tokenizers 0.22.2

snow-leaoprd/tinyllama-lora-finetuned-howto

tinyllama-lora-finetuned-howto

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

snow-leaoprd/
tinyllama-lora-finetuned-howto