Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
trained_weigths – AI Model by FtMi | AlphaNeural AI
You can deploy this model and start earning money today!
FtMi
/
trained_weigths
like
0
peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
adapter
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
trained_weigths
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4292
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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4339
1.0
181
0.4499
0.4524
2.0
362
0.4320
0.4695
3.0
543
0.4292
Framework versions
PEFT 0.7.2.dev0
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1
