mrm8488_electricidad-base-finetuned-pawsx-es-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of mrm8488/electricidad-base-finetuned-pawsx-es on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.5948

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
0.4974	None	0
0.5497	0.7063	0
0.5466	0.6915	1
0.5707	0.6660	2
0.5864	0.6439	3
0.5728	0.6380	4
0.5717	0.6324	5
0.5874	0.6160	6
0.5948	0.6181	7

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.15.2