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JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish
adapter
model-index
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JonatanGk_roberta-base-bne-finetuned-cyberbullying-spanish-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
accuracy
train_loss
epoch
0.5257
None
0
0.5089
0.8169
0
0.5424
0.7018
1
0.5665
0.6875
2
0.5717
0.6690
3
0.5822
0.6540
4
0.5885
0.6430
5
0.5906
0.6339
6
0.6
0.6268
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2