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syn-dataaug-combined-context – AI Model by layai | AlphaNeural AI
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syn-dataaug-combined-context
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transformers
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Meta-Llama-3-8B
finetune
text-generation-inference
endpoints_compatible
us
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context
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.1785
Accuracy: 0.2448
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: 40
eval_batch_size: 40
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.276
0.8306
500
5.1785
0.2448
0.5321
1.6611
1000
5.2637
0.2565
0.3538
2.4917
1500
5.4336
0.2552
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
