README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - ''
metrics:
  - accuracy
model-index:
  - name: SEED0042
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: MNLI
          type: ''
          args: mnli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8572592969943963

SEED0042

This model is a fine-tuned version of bert-large-uncased on the MNLI dataset. It achieves the following results on the evaluation set:

• Loss: 0.5092
• Accuracy: 0.8573

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: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: not_parallel
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4736	1.0	12271	0.4213	0.8372
0.3248	2.0	24542	0.4055	0.8538
0.1571	3.0	36813	0.5092	0.8573

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu113
• Datasets 2.1.0
• Tokenizers 0.11.6