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---
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: 0.7620
- Accuracy: 0.4780
## 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 | 0.7772 | 0.4681 |
| No log | 2.0 | 2 | 0.7741 | 0.4683 |
| No log | 3.0 | 3 | 0.7715 | 0.4687 |
| No log | 4.0 | 4 | 0.7698 | 0.4708 |
| No log | 5.0 | 5 | 0.7690 | 0.4722 |
| No log | 6.0 | 6 | 0.7692 | 0.4729 |
| No log | 7.0 | 7 | 0.7694 | 0.4723 |
| No log | 8.0 | 8 | 0.7689 | 0.4726 |
| No log | 9.0 | 9 | 0.7684 | 0.4731 |
| No log | 10.0 | 10 | 0.7681 | 0.4729 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |