metadata

license: other
tags:
  - generated_from_trainer
model-index:
  - name: opt-125m-wikitext2
    results:
      - task:
          type: zero-shot-classification
          name: Zero-Shot Text Classification
        dataset:
          name: mathemakitten/winobias_antistereotype_dev
          type: mathemakitten/winobias_antistereotype_dev
          config: mathemakitten--winobias_antistereotype_dev
          split: validation
        metrics:
          - type: accuracy
            value: 0.4375
            name: Accuracy
            verified: true
            verifyToken: >-
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          - type: loss
            value: 1.1480248920549638
            name: Loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDhkODZmMzgyODQyNzYzZGE4Nzc2YjhkZTk0ZDgwMGUwMjI0ZjliMmQyODM3NzlkODkwOWEwYzBlNWU4NzlmMCIsInZlcnNpb24iOjF9.qlhKo7zXMRYAYWTszoZ7VQqF52mCDBQ7PRLD6y6doFmAnmKa8nv4VQeDBFdYwomMA1Rdw2jwqhYcwbgSYEm0CA

opt-125m-wikitext2

This model is a fine-tuned version of facebook/opt-125m on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.3409

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
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.4123	1.0	2370	3.3621
3.2096	2.0	4740	3.3452
3.0822	3.0	7110	3.3409

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1