This model is a fine-tuned version of iestynmullinor/roberta-reranker-f-cf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3700

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
1.5845	1.0	72	0.8640
0.9196	2.0	144	0.7450
0.5957	3.0	216	0.5203
0.5305	4.0	288	0.3700
0.4198	5.0	360	0.4345
0.3221	6.0	432	0.4126
0.3499	7.0	504	0.4262
0.173	8.0	576	0.5862

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.1

iestynmullinor/roberta-reranker-f-cf-ipcc

roberta-reranker-f-cf-ipcc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

iestynmullinor/
roberta-reranker-f-cf-ipcc