End of training
Browse files- README.md +95 -0
- pytorch_model.bin +1 -1
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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datasets:
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- glue
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metrics:
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- accuracy
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model-index:
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- name: t5-base_cola_mare_ar16_ex32_size-32_epochs-5_collected-stats
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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config: cola
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split: validation
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args: cola
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8178331735378715
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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_cola_mare_ar16_ex32_size-32_epochs-5_collected-stats
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4754
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- Accuracy: 0.8178
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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: 32
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- eval_batch_size: 64
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- seed: 0
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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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- lr_scheduler_warmup_steps: 20
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- num_epochs: 5
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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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| 0.5704 | 0.19 | 50 | 0.5500 | 0.6913 |
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| 0.4592 | 0.37 | 100 | 0.5609 | 0.7814 |
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| 0.4641 | 0.56 | 150 | 0.4854 | 0.8121 |
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| 0.4015 | 0.75 | 200 | 0.4908 | 0.8063 |
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| 0.4365 | 0.93 | 250 | 0.5368 | 0.8063 |
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| 0.3397 | 1.12 | 300 | 0.4968 | 0.8255 |
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| 0.3187 | 1.31 | 350 | 0.4496 | 0.8236 |
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| 0.3034 | 1.49 | 400 | 0.4710 | 0.8198 |
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| 0.3725 | 1.68 | 450 | 0.5318 | 0.8236 |
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| 0.4025 | 1.87 | 500 | 0.4754 | 0.8178 |
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| 0.3018 | 2.05 | 550 | 0.5268 | 0.8274 |
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| 0.3073 | 2.24 | 600 | 0.5359 | 0.8313 |
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| 0.2784 | 2.43 | 650 | 0.4787 | 0.8332 |
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| 0.2271 | 2.61 | 700 | 0.4870 | 0.8284 |
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| 0.3142 | 2.8 | 750 | 0.5267 | 0.8360 |
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| 0.3161 | 2.99 | 800 | 0.5216 | 0.8313 |
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| 0.2491 | 3.17 | 850 | 0.5075 | 0.8332 |
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| 0.3027 | 3.36 | 900 | 0.5142 | 0.8313 |
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| 0.307 | 3.54 | 950 | 0.5031 | 0.8360 |
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| 0.3338 | 3.73 | 1000 | 0.5035 | 0.8351 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1385560510
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a4c6c67ac979209923d4701d7f8f5f7836131250a8e35d26c199d00c7f8e4de
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size 1385560510
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