metadata

base_model: bert-base-cased
library_name: peft
license: apache-2.0
metrics:
  - f1
tags:
  - generated_from_trainer
model-index:
  - name: bert-dair-ai-emotion-testing
    results: []

bert-dair-ai-emotion-testing

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3184
F1: 0.5820

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.7268	1.0	48	1.3184	0.5820

Framework versions

PEFT 0.13.2
Transformers 4.48.0
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.21.0