Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Mistral-7B-Instruct-v0.3-qlora-modular-new_prompt – AI Model by TripleH | AlphaNeural AI
You can deploy this model and start earning money today!
TripleH
/
Mistral-7B-Instruct-v0.3-qlora-modular-new_prompt
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
mistralai/Mistral-7B-Instruct-v0.3
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Mistral-7B-Instruct-v0.3-qlora-modular-new_prompt
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6859
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
5.3021
1.0
12
3.8390
2.9089
2.0
24
2.4631
1.912
3.0
36
1.7836
1.1487
4.0
48
1.6885
0.6646
5.0
60
1.5315
0.4584
6.0
72
1.6859
Framework versions
PEFT 0.16.0
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
