---
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: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYwMThiZjYwMmNmZDA4ZmUyNzYwNjU3MGU0NTRhZjI5NWVjNGRmOTRhZWRlZWVmYzQ5MWRiNmQ0MzRlMjU0NyIsInZlcnNpb24iOjF9.hqz3Xwego8qtofxVwg0yO0Ovk6G_kXYj55gPPLzmBFYJQOuy9kSa8g2Sm_GRTU0GSU10rAtDzYCSyehqz58VBQ
    - type: loss
      value: 1.1480248920549638
      name: Loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDhkODZmMzgyODQyNzYzZGE4Nzc2YjhkZTk0ZDgwMGUwMjI0ZjliMmQyODM3NzlkODkwOWEwYzBlNWU4NzlmMCIsInZlcnNpb24iOjF9.qlhKo7zXMRYAYWTszoZ7VQqF52mCDBQ7PRLD6y6doFmAnmKa8nv4VQeDBFdYwomMA1Rdw2jwqhYcwbgSYEm0CA
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# opt-125m-wikitext2

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/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