Model save
Browse files- README.md +79 -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: facebook/convnextv2-femto-1k-224
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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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- precision
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- recall
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- f1
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model-index:
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- name: 10-convnextv2-femto-1k-224-finetuned-spiderTraining20-500
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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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# 10-convnextv2-femto-1k-224-finetuned-spiderTraining20-500
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This model is a fine-tuned version of [facebook/convnextv2-femto-1k-224](https://huggingface.co/facebook/convnextv2-femto-1k-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4856
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- Accuracy: 0.8388
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- Precision: 0.8342
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- Recall: 0.8349
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- F1: 0.8332
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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: 25
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- eval_batch_size: 25
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 100
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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_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.9569 | 1.0 | 80 | 1.7758 | 0.5065 | 0.5330 | 0.5075 | 0.4959 |
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| 1.05 | 2.0 | 160 | 0.9583 | 0.7207 | 0.7400 | 0.7158 | 0.7102 |
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| 0.8342 | 3.0 | 240 | 0.7517 | 0.7568 | 0.7747 | 0.7420 | 0.7409 |
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| 0.7 | 4.0 | 320 | 0.6801 | 0.7928 | 0.7921 | 0.7890 | 0.7826 |
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| 0.5956 | 5.0 | 400 | 0.5913 | 0.8128 | 0.8130 | 0.8082 | 0.8061 |
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| 0.572 | 6.0 | 480 | 0.5533 | 0.8278 | 0.8259 | 0.8223 | 0.8217 |
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| 0.4786 | 7.0 | 560 | 0.5108 | 0.8348 | 0.8319 | 0.8308 | 0.8302 |
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| 0.4201 | 8.0 | 640 | 0.5064 | 0.8318 | 0.8286 | 0.8248 | 0.8252 |
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| 0.4486 | 9.0 | 720 | 0.4951 | 0.8408 | 0.8364 | 0.8363 | 0.8350 |
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| 0.4382 | 10.0 | 800 | 0.4856 | 0.8388 | 0.8342 | 0.8349 | 0.8332 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 19471933
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version https://git-lfs.github.com/spec/v1
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oid sha256:d46fb05893cbb71c13a1a7161121169723bff6523a3f810ba06a2b01a119acf7
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size 19471933
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