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eu_adapter01 – AI Model by cocorooxinnn | AlphaNeural AI
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cocorooxinnn
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eu_adapter01
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peft
safetensors
generated_from_trainer
facebook/bart-large-mnli
adapter
mit
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eu_adapter01
This model is a fine-tuned version of
facebook/bart-large-mnli
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6074
F1: 0.8169
Precision: 0.7945
Recall: 0.8406
Accuracy: 0.8267
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Precision
Recall
Accuracy
0.6875
0.625
10
0.6413
0.5625
1.0
0.3913
0.72
0.6028
1.25
20
0.6077
0.7971
0.7971
0.7971
0.8133
0.5901
1.875
30
0.6074
0.8169
0.7945
0.8406
0.8267
Framework versions
PEFT 0.10.0
Transformers 4.41.2
Pytorch 2.2.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
