Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
phi-1_5-lora-tuned-sft-dolly – AI Model by eduardo-alvarez | AlphaNeural AI
You can deploy this model and start earning money today!
eduardo-alvarez
/
phi-1_5-lora-tuned-sft-dolly
like
0
peft
safetensors
trl
sft
generated_from_trainer
dolly
ipex
max series gpu
generator
databricks/databricks-dolly-15k
microsoft/phi-1_5
adapter
mit
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
phi-1_5-lora-tuned-sft-dolly
This model is a fine-tuned version of
microsoft/phi-1_5
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 2.4000
Model description
More information needed
Intended uses & limitations
More information needed
Hardware
Trained model on Intel Max 1550 GPU
Training and evaluation data
databricks/databricks-dolly-15k
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 593
Training results
Training Loss
Epoch
Step
Validation Loss
2.7868
0.8065
100
2.5808
2.547
1.6129
200
2.4670
2.4664
2.4194
300
2.4305
2.4586
3.2258
400
2.4108
2.4204
4.0323
500
2.4000
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0.post0+cxx11.abi
Datasets 2.19.1
Tokenizers 0.19.1
