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---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/opt-1.3b
metrics:
- accuracy
model-index:
- name: opt-1.3b-finetuned-mnli
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-1.3b-finetuned-mnli
This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7762
- Accuracy: 0.5027
## 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 | 0.7791 | 0.5057 |
| No log | 2.0 | 2 | 0.7755 | 0.5033 |
| No log | 3.0 | 3 | 0.7731 | 0.5001 |
| No log | 4.0 | 4 | 0.7716 | 0.4973 |
| No log | 5.0 | 5 | 0.7705 | 0.4963 |
| No log | 6.0 | 6 | 0.7698 | 0.4972 |
| No log | 7.0 | 7 | 0.7694 | 0.4963 |
| No log | 8.0 | 8 | 0.7691 | 0.4966 |
| No log | 9.0 | 9 | 0.7690 | 0.4961 |
| No log | 10.0 | 10 | 0.7690 | 0.4972 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |