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---
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-350m-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-350m-finetuned-mnli
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2789
- Accuracy: 0.5235
## 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 | 1.4105 | 0.4852 |
| No log | 2.0 | 2 | 1.1544 | 0.5132 |
| No log | 3.0 | 3 | 1.2071 | 0.5163 |
| No log | 4.0 | 4 | 1.0910 | 0.5094 |
| No log | 5.0 | 5 | 1.1394 | 0.5154 |
| No log | 6.0 | 6 | 1.1741 | 0.5185 |
| No log | 7.0 | 7 | 1.2318 | 0.5199 |
| No log | 8.0 | 8 | 1.2789 | 0.5235 |
| No log | 9.0 | 9 | 1.3077 | 0.5211 |
| No log | 10.0 | 10 | 1.3205 | 0.5202 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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