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sunbird-ug-lang-v1.0-llama-2-7b-hf-lora – AI Model by kuyesu22 | AlphaNeural AI
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kuyesu22
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sunbird-ug-lang-v1.0-llama-2-7b-hf-lora
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
us
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results
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3173
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.6839
0.3997
500
2.2969
2.2751
0.7994
1000
2.2539
2.1746
1.1990
1500
2.2686
2.0901
1.5987
2000
2.2643
2.0752
1.9984
2500
2.2541
1.8984
2.3981
3000
2.3173
Framework versions
PEFT 0.13.1
Transformers 4.44.2
Pytorch 2.4.1+cu118
Datasets 3.0.1
Tokenizers 0.19.1
