metadata

language:
  - en
base_model: FacebookAI/roberta-large
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: MNLI
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE MNLI
          type: glue
          args: mnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8977827502034175

MNLI

This model is a fine-tuned version of FacebookAI/roberta-large on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.6192
Accuracy: 0.8978

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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6.0

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.3135	1.0	6136	0.8872	0.3194
0.2281	2.0	12272	0.8983	0.3009
0.1484	3.0	18408	0.9007	0.3358
0.0955	4.0	24544	0.8995	0.4247
0.0616	5.0	30680	0.4938	0.8983
0.0441	6.0	36816	0.6055	0.9009

Framework versions

Transformers 4.43.3
Pytorch 1.11.0+cu113
Datasets 2.20.0
Tokenizers 0.19.1