Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Llama2-7b-summarization-16k-daatapoints – AI Model by mogmyij | AlphaNeural AI
You can deploy this model and start earning money today!
mogmyij
/
Llama2-7b-summarization-16k-daatapoints
like
0
peft
safetensors
trl
sft
generated_from_trainer
generator
meta-llama/Llama-2-7b-hf
adapter
llama2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Llama2-7b-summarization-16k-daatapoints
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the generator dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
1.763
0.9991
564
nan
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
