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Llama2_7B_chat_meetingBank_ft_adapters_test – AI Model by Jukaboo | AlphaNeural AI
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Llama2_7B_chat_meetingBank_ft_adapters_test
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tensorboard
safetensors
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meta-llama/Llama-2-7b-chat-hf
finetune
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Llama2_7B_chat_meetingBank_ft_adapters_test
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: 1.9378
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: 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
Training results
Training Loss
Epoch
Step
Validation Loss
2.1525
0.2
65
2.0533
2.0143
0.4
130
1.9829
1.6408
0.6
195
1.9513
2.1303
0.8
260
1.9378
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
