You can deploy this model and start earning money today!

doganmustafa/
Llama-3.2-1B-Instruct

Name: Llama-3.2-1B-Instruct
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

llama3.2

Views

No views yet

Llama-3.2-1B-Instruct

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

Loss: 0.2812

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4538	0.1	100	0.4046
0.3315	0.2	200	0.3426
0.3151	0.3	300	0.3207
0.2916	0.4	400	0.3055
0.2663	0.5	500	0.2964
0.2718	0.6	600	0.2902
0.3185	0.7	700	0.2855
0.2546	0.8	800	0.2827
0.3406	0.9	900	0.2813
0.2892	1.0	1000	0.2812

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

doganmustafa/Llama-3.2-1B-Instruct

Llama-3.2-1B-Instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

doganmustafa/
Llama-3.2-1B-Instruct