Model save
Browse files- README.md +86 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: sheepy928/default
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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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- f1
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- recall
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- precision
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model-index:
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- name: FT_3
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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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# FT_3
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This model is a fine-tuned version of [sheepy928/default](https://huggingface.co/sheepy928/default) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7570
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- Accuracy: 0.7393
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- F1: 0.6292
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- Recall: 0.7393
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- Precision: 0.7147
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- Combined Score: 0.7056
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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: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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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: 10000
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:--------------:|
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| 0.6785 | 1.6 | 300 | 0.7930 | 0.7387 | 0.6276 | 0.7387 | 0.5456 | 0.6627 |
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| 0.5583 | 3.19 | 600 | 0.6910 | 0.7613 | 0.7316 | 0.7613 | 0.7072 | 0.7404 |
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| 0.7857 | 4.79 | 900 | 0.6515 | 0.7387 | 0.6276 | 0.7387 | 0.5456 | 0.6627 |
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| 0.6309 | 6.38 | 1200 | 0.5592 | 0.848 | 0.8270 | 0.848 | 0.8382 | 0.8403 |
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| 0.2216 | 7.98 | 1500 | 0.5708 | 0.8773 | 0.8432 | 0.8773 | 0.8496 | 0.8619 |
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| 0.3214 | 9.57 | 1800 | 0.4550 | 0.896 | 0.8584 | 0.896 | 0.8776 | 0.8820 |
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| 0.7521 | 11.17 | 2100 | 0.3819 | 0.884 | 0.8423 | 0.884 | 0.8059 | 0.8541 |
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| 0.5048 | 12.77 | 2400 | 0.6582 | 0.7387 | 0.6276 | 0.7387 | 0.5456 | 0.6627 |
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| 0.6435 | 14.36 | 2700 | 0.5365 | 0.8467 | 0.8092 | 0.8467 | 0.7798 | 0.8206 |
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| 0.9304 | 15.96 | 3000 | 0.7577 | 0.7387 | 0.6289 | 0.7387 | 0.6302 | 0.6841 |
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| 0.7902 | 17.55 | 3300 | 0.7684 | 0.7387 | 0.6289 | 0.7387 | 0.6302 | 0.6841 |
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| 0.6364 | 19.15 | 3600 | 0.7638 | 0.7387 | 0.6289 | 0.7387 | 0.6302 | 0.6841 |
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| 0.6738 | 20.74 | 3900 | 0.7769 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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| 0.8142 | 22.34 | 4200 | 0.7443 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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| 0.8184 | 23.94 | 4500 | 0.7635 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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| 0.7562 | 25.53 | 4800 | 0.7467 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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| 0.5699 | 27.13 | 5100 | 0.7867 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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| 0.761 | 28.72 | 5400 | 0.7570 | 0.7393 | 0.6292 | 0.7393 | 0.7147 | 0.7056 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0
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- Datasets 2.14.5
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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 498661166
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d3710bc4647372e00ee4dca543a3f02f09271dd35506c9409db9570e5e94485
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size 498661166
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