Recognai_bert-base-spanish-wwm-cased-xnli-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of Recognai/bert-base-spanish-wwm-cased-xnli on the tweet_eval dataset. It achieves the following results on the evaluation set:

• accuracy: 0.6241

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
0.4869	None	0
0.5623	0.6907	0
0.5801	0.6763	1
0.5948	0.6528	2
0.5749	0.6381	3
0.6063	0.6296	4
0.5874	0.6227	5
0.6021	0.6151	6
0.6241	0.6085	7

Framework versions

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