File size: 2,028 Bytes
6f4497a f5a5ffb 6f4497a f5a5ffb 6f4497a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: t20spiders-1000
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t20spiders-1000
This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1862
- Accuracy: 0.9400
- Precision: 0.9412
- Recall: 0.9401
- F1: 0.9403
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.6303 | 1.0 | 250 | 0.4444 | 0.8729 | 0.8811 | 0.8735 | 0.8734 |
| 0.4303 | 2.0 | 500 | 0.2761 | 0.9135 | 0.9162 | 0.9136 | 0.9136 |
| 0.3779 | 3.0 | 750 | 0.2324 | 0.9245 | 0.9263 | 0.9252 | 0.9248 |
| 0.3067 | 4.0 | 1000 | 0.1997 | 0.9360 | 0.9378 | 0.9358 | 0.9363 |
| 0.2619 | 5.0 | 1250 | 0.1862 | 0.9400 | 0.9412 | 0.9401 | 0.9403 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|