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Llama2_7B_chat_meetingBank_ft_adapters_ep2_all – AI Model by Jukaboo | AlphaNeural AI
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Llama2_7B_chat_meetingBank_ft_adapters_ep2_all
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meta-llama/Llama-2-7b-chat-hf
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Llama2_7B_chat_meetingBank_ft_adapters_ep2_all
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: 1.8967
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.0156
0.4
130
1.9957
2.1166
0.8
260
1.9371
1.9634
1.21
390
1.9097
1.347
1.61
520
1.8967
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
