---
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: opt-125m-finetuned-mnli
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      config: mnli
      split: validation_matched
      args: mnli
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.35517065715741214
---

<!-- 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-finetuned-mnli

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7566
- Accuracy: 0.3552

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0726        | 1.0   | 1    | 1.7835          | 0.3536   |
| 0.1157        | 2.0   | 2    | 1.7566          | 0.3552   |
| 0.0624        | 3.0   | 3    | 1.7372          | 0.3548   |
| 0.07          | 4.0   | 4    | 1.7249          | 0.3544   |
| 0.0689        | 5.0   | 5    | 1.7189          | 0.3545   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0