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Llama2_7B_chat_arithmetic_nocarry – AI Model by Jukaboo | AlphaNeural AI
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Llama2_7B_chat_arithmetic_nocarry
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meta-llama/Llama-2-7b-chat-hf
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Llama2_7B_chat_arithmetic_nocarry
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1935
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: 0.002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5437
0.2
94
1.6203
0.499
0.4
188
2.2858
0.6523
0.6
282
1.6741
0.7247
0.8
376
1.1935
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
