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End of training
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README.md
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---
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license: other
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base_model: facebook/opt-350m
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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-350m-snli-model3
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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-350m-snli-model3
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9962
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- Accuracy: 0.7495
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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: 2e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 74
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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: 3
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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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| 0.3313 | 1.0 | 2146 | 0.2725 | 0.8994 |
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| 0.2398 | 2.0 | 4292 | 0.2611 | 0.9070 |
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| 0.1536 | 3.0 | 6438 | 0.2971 | 0.9071 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Feb06_20-59-55_gl1510.arc-ts.umich.edu/events.out.tfevents.1707277867.gl1510.arc-ts.umich.edu.3419244.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:aabaeb7b29ab2e2904f840be2cee0b843e96c0014e1886a25e565c134f9a99d2
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size 1380
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