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seqcls-hate-4 – AI Model by ridhimamlds | AlphaNeural AI
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ridhimamlds
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seqcls-hate-4
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peft
safetensors
generated_from_trainer
google/gemma-2-2b
adapter
gemma
us
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seqcls-hate-4
This model is a fine-tuned version of
google/gemma-2-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Accuracy: 0.25
Precision: 0.0625
Recall: 0.25
F1: 0.1
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.0
1.0
5375
nan
0.25
0.0625
0.25
0.1
Framework versions
PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
