parrot-llama-2-13B-epoch3 – AI Model by douy | AlphaNeural AI

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douy/
parrot-llama-2-13B-epoch3

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text-generation

generated_from_trainer

meta-llama/Llama-2-13b-hf

autotrain_compatible

text-generation-inference

endpoints_compatible

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Llama-2-13b-lr-5e-5

This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1454
Accuracy: 0.2150

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 16
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.955	0.37	10	0.9061	0.2182
0.8899	0.74	20	0.8734	0.2196
0.879	1.11	30	0.9091	0.2174
0.3295	1.48	40	0.9803	0.2173
0.3711	1.85	50	0.9820	0.2174
0.2927	2.22	60	1.0270	0.2153
0.1703	2.59	70	1.0966	0.2131
0.2011	2.96	80	1.1488	0.2145

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0