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inno4g/
prec_240807_llama2

Name: prec_240807_llama2
Availability: InStock

generated_from_trainer

meta-llama/Llama-2-7b-chat-hf

finetune

llama2

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prec_240807_llama2

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the perception_240723 dataset. It achieves the following results on the evaluation set:

Loss: 0.8686

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 4
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.9956	0.1111	50	0.9926
0.9989	0.2222	100	0.9736
0.9373	0.3333	150	0.9539
1.0155	0.4444	200	0.9442
0.9273	0.5556	250	0.9123
0.8789	0.6667	300	0.8964
0.871	0.7778	350	0.8800
0.8756	0.8889	400	0.8700
0.9423	1.0	450	0.8686

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

inno4g/prec_240807_llama2

prec_240807_llama2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

inno4g/
prec_240807_llama2