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yahyaahmed/
tinyllama-lora-squad_4_2e-04_2_lora8_qvk

Name: tinyllama-lora-squad_4_2e-04_2_lora8_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_4_2e-04_2_lora8_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: nan

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
0.0057	0.2	250	nan
0.006	0.4	500	nan
0.0045	0.6	750	nan
0.0036	0.8	1000	nan
0.0048	1.0	1250	nan
0.0038	1.2	1500	nan
0.004	1.4	1750	nan
0.0034	1.6	2000	nan
0.0037	1.8	2250	nan
0.0032	2.0	2500	nan

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_4_2e-04_2_lora8_qvk

tinyllama-lora-squad_4_2e-04_2_lora8_qvk

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yahyaahmed/
tinyllama-lora-squad_4_2e-04_2_lora8_qvk