metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: sa_BERT_48_mnli
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE MNLI
          type: glue
          config: mnli
          split: validation_matched
          args: mnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7034174125305126

sa_BERT_48_mnli

This model is a fine-tuned version of gokuls/bert_base_48 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.7082
Accuracy: 0.7034

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: 4e-05
train_batch_size: 96
eval_batch_size: 96
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9145	1.0	4091	0.8006	0.6536
0.7442	2.0	8182	0.7245	0.6903
0.6631	3.0	12273	0.7323	0.6979
0.5942	4.0	16364	0.7073	0.7076
0.5241	5.0	20455	0.7475	0.7016
0.4526	6.0	24546	0.8377	0.7088
0.3842	7.0	28637	0.8736	0.6956
0.3213	8.0	32728	0.9334	0.6945
0.2669	9.0	36819	1.0196	0.7027

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.13.0
Tokenizers 0.13.3