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Llama2_7B_chat_meetingBank_ft_adapters_EOS_3 – AI Model by Jukaboo | AlphaNeural AI
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Llama2_7B_chat_meetingBank_ft_adapters_EOS_3
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tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
finetune
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Llama2_7B_chat_meetingBank_ft_adapters_EOS_3
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: 1.8142
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.2757
0.2
65
1.9499
1.8931
0.4
130
1.8631
1.6246
0.6
195
1.8294
2.2049
0.8
260
1.8142
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
