Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
judicial-summarization-Mistral-finetuned_mildsum_FL – AI Model by Hiranmai49 | AlphaNeural AI
You can deploy this model and start earning money today!
Hiranmai49
/
judicial-summarization-Mistral-finetuned_mildsum_FL
like
0
peft
safetensors
trl
sft
unsloth
generated_from_trainer
unsloth/mistral-7b-v0.3-bnb-4bit
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
judicial-summarization-Mistral-finetuned_mildsum_FL
This model is a fine-tuned version of
unsloth/mistral-7b-v0.3-bnb-4bit
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0214
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: 2
eval_batch_size: 8
seed: 3407
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_steps: 5
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
1.143
0.9991
273
1.2892
1.1243
1.9982
546
1.2952
0.8696
2.9973
819
1.3759
0.593
4.0
1093
1.5161
0.3457
4.9991
1366
1.7477
0.1588
5.9945
1638
2.0214
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
