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yahyaahmed/
tinyllama-lora-squad_16_5e-05_2_lora16_qvk

Name: tinyllama-lora-squad_16_5e-05_2_lora16_qvk
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

apache-2.0

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tinyllama-lora-squad_16_5e-05_2_lora16_qvk

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0069

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
7.7854	0.2002	124	0.0125
0.0106	0.4003	248	0.0097
0.009	0.6005	372	0.0085
0.0082	0.8006	496	0.0077
0.0071	1.0016	620	0.0075
0.0065	1.2018	744	0.0074
0.0063	1.4019	868	0.0071
0.0061	1.6021	992	0.0069
0.0064	1.8023	1116	0.0069

Framework versions

PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

yahyaahmed/tinyllama-lora-squad_16_5e-05_2_lora16_qvk

tinyllama-lora-squad_16_5e-05_2_lora16_qvk

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yahyaahmed/
tinyllama-lora-squad_16_5e-05_2_lora16_qvk