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Llama2-MGT-Test – AI Model by ngocminhta | AlphaNeural AI
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Llama2-MGT-Test
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transformers
pytorch
tensorboard
llama
text-generation
generated_from_trainer
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Llama2-MGT-Test
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4140
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.4735
1.0
600
1.4509
1.3866
2.0
1200
1.4155
1.3135
3.0
1800
1.4140
Framework versions
Transformers 4.30.0
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.13.3