README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - crows_pairs
metrics:
  - accuracy
model-index:
  - name: t5-small_crows_pairs_finetuned_HBRPOI
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: crows_pairs
          type: crows_pairs
          config: crows_pairs
          split: test
          args: crows_pairs
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.6490066225165563

t5-small_crows_pairs_finetuned_HBRPOI

This model is a fine-tuned version of t5-small on the crows_pairs dataset. It achieves the following results on the evaluation set:

• Loss: 0.3485
• Accuracy: 0.6490
• Tp: 0.4934
• Tn: 0.1556
• Fp: 0.3411
• Fn: 0.0099

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: 0.0005
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Tp	Tn	Fp	Fn
0.4336	1.05	20	0.3559	0.5033	0.5033	0.0	0.4967	0.0
0.3726	2.11	40	0.3608	0.5033	0.5033	0.0	0.4967	0.0
0.317	3.16	60	0.3112	0.5099	0.5033	0.0066	0.4901	0.0
0.259	4.21	80	0.2822	0.5662	0.5	0.0662	0.4305	0.0033
0.2439	5.26	100	0.3249	0.7119	0.4934	0.2185	0.2781	0.0099
0.1824	6.32	120	0.3082	0.6093	0.4934	0.1159	0.3808	0.0099
0.1549	7.37	140	0.3217	0.5960	0.4967	0.0993	0.3974	0.0066
0.1312	8.42	160	0.3365	0.6325	0.4934	0.1391	0.3576	0.0099
0.1158	9.47	180	0.3485	0.6490	0.4934	0.1556	0.3411	0.0099

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1
• Datasets 2.10.1
• Tokenizers 0.13.2