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boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony
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tweet_eval
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boychaboy_MNLI_roberta-base-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
boychaboy/MNLI_roberta-base
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.7497
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
0.5236
None
0
0.6848
0.6722
0
0.6796
0.6006
1
0.7194
0.5452
2
0.7319
0.5221
3
0.7424
0.4951
4
0.7361
0.4660
5
0.7497
0.4600
6
0.7497
0.4570
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
