Commit
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5448097
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End of training
Browse files- README.md +71 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/fnet-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: NLPGroupProject-Finetune-FNet
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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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# NLPGroupProject-Finetune-FNet
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This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1397
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- Accuracy: 0.661
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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: 2
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- eval_batch_size: 2
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- seed: 42
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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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| 1.2489 | 0.25 | 500 | 1.1166 | 0.601 |
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| 1.0966 | 0.5 | 1000 | 0.9805 | 0.6 |
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| 1.0379 | 0.75 | 1500 | 1.0110 | 0.624 |
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| 0.9708 | 1.0 | 2000 | 0.9348 | 0.633 |
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| 0.891 | 1.25 | 2500 | 1.1107 | 0.622 |
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| 0.948 | 1.5 | 3000 | 1.0165 | 0.656 |
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| 0.9148 | 1.75 | 3500 | 1.0472 | 0.655 |
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| 0.969 | 2.0 | 4000 | 1.0291 | 0.65 |
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| 0.855 | 2.25 | 4500 | 1.2743 | 0.635 |
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| 0.8445 | 2.5 | 5000 | 1.1520 | 0.655 |
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| 0.8057 | 2.75 | 5500 | 1.1107 | 0.662 |
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| 0.7467 | 3.0 | 6000 | 1.1397 | 0.661 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 331459532
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version https://git-lfs.github.com/spec/v1
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size 331459532
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