Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
lora_evo_ta_all_layers_9 – AI Model by lsmille | AlphaNeural AI
You can deploy this model and start earning money today!
lsmille
/
lora_evo_ta_all_layers_9
like
0
peft
safetensors
generated_from_trainer
togethercomputer/evo-1-8k-base
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
lora_evo_ta_all_layers_9
This model is a fine-tuned version of
togethercomputer/evo-1-8k-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9312
Model description
Good model
with A100
lora_alpha = 256 <---- only with A100
lora_dropout = 0.05
lora_r = 128 <---- only with A100
epochs = 3
learning rate = 3e-4
warmup_steps=10
gradient_accumulation_steps = 8
train_batch = 1
eval_batch = 1
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: 0.0003
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 10
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.0125
1.0
266
2.9774
2.8409
2.0
532
2.9347
2.6991
3.0
798
2.9312
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
