Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
BART_HYDROGEN_GENERATION_QA – AI Model by 1MK026 | AlphaNeural AI
You can deploy this model and start earning money today!
1MK026
/
BART_HYDROGEN_GENERATION_QA
like
0
transformers
safetensors
bart
text2text-generation
generated_from_trainer
vblagoje/bart_lfqa
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
BART_HYDROGEN_GENERATION_QA
This model is a fine-tuned version of
vblagoje/bart_lfqa
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5046
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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
1.2697
0.2092
100
0.5574
1.0628
0.4184
200
0.5151
1.0037
0.6276
300
0.5066
0.9652
0.8368
400
0.4842
0.9284
1.0460
500
0.4974
0.8272
1.2552
600
0.5046
Framework versions
Transformers 4.46.0
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
