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viettel_v3 – AI Model by minhbui | AlphaNeural AI
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minhbui
/
viettel_v3
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transformers
llama
text-generation
generated_from_trainer
meta-llama/Llama-2-7b-hf
quantized
autotrain_compatible
endpoints_compatible
4-bit
bitsandbytes
us
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Model card
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ckpts/llama2-7b-viettel_v3_2epoch
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: 0.4619
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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 4
total_train_batch_size: 24
total_eval_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.5149
0.25
200
0.5149
0.4977
0.51
400
0.4941
0.4727
0.76
600
0.4824
0.4375
1.02
800
0.4730
0.4455
1.27
1000
0.4682
0.4539
1.53
1200
0.4638
0.4411
1.78
1400
0.4619
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.14.0
