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End of training
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README.md
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---
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license: apache-2.0
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base_model: t5-base
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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: t5-base-mnli-model1
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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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# t5-base-mnli-model1
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9030
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- Accuracy: 0.7125
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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: 64
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- eval_batch_size: 64
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- seed: 10
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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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| 0.3393 | 1.0 | 6136 | 0.4004 | 0.8617 |
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| 0.3064 | 2.0 | 12272 | 0.3921 | 0.8662 |
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| 0.2836 | 3.0 | 18408 | 0.4004 | 0.8655 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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runs/Jan25_19-12-23_gl1524.arc-ts.umich.edu/events.out.tfevents.1706236581.gl1524.arc-ts.umich.edu.1326632.1
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version https://git-lfs.github.com/spec/v1
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size 1404
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