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CounselLlama7B – AI Model by langecod | AlphaNeural AI
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langecod
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CounselLlama7B
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meta-llama/Llama-2-7b-chat-hf
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CounselLlama7B
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1452
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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.2999
0.28
213
1.2184
1.1835
1.28
426
1.1595
1.2435
2.28
639
1.1452
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
