---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/opt-125m
metrics:
- accuracy
model-index:
- name: opt-125m-finetuned-mnli-mm
  results: []
---

<!-- 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-mm

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7569
- Accuracy: 0.4937

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.7338          | 0.4701   |
| No log        | 2.0   | 2    | 0.7326          | 0.4701   |
| No log        | 3.0   | 3    | 0.7318          | 0.4705   |
| No log        | 4.0   | 4    | 0.7311          | 0.4722   |
| No log        | 5.0   | 5    | 0.7306          | 0.4738   |
| No log        | 6.0   | 6    | 0.7303          | 0.4761   |
| No log        | 7.0   | 7    | 0.7300          | 0.4770   |
| No log        | 8.0   | 8    | 0.7297          | 0.4786   |
| No log        | 9.0   | 9    | 0.7296          | 0.4796   |
| No log        | 10.0  | 10   | 0.7295          | 0.4798   |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1