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README.md
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---
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license: other
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base_model: facebook/opt-125m
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: opt-125m-mnli
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# opt-125m-mnli
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8249
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- Accuracy: 0.8203
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.4968 | 1.0 | 3068 | 0.4888 | 0.8080 |
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| 0.3496 | 2.0 | 6136 | 0.4909 | 0.8191 |
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| 0.1924 | 3.0 | 9204 | 0.6029 | 0.8199 |
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| 0.0811 | 4.0 | 12272 | 0.8249 | 0.8203 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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