Model save
Browse files- README.md +20 -9
- config.json +1 -1
- model.safetensors +1 -1
- runs/May07_17-56-54_6cf576645707/events.out.tfevents.1715104615.6cf576645707.35.2 +3 -0
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# Action_model
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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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:
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- mixed_precision_training: Native AMP
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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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### Framework versions
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---
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license: apache-2.0
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base_model: Raihan004/Action_model
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8488576449912126
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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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# Action_model
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This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5034
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- Accuracy: 0.8489
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## Model description
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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: 10
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- mixed_precision_training: Native AMP
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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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| 0.7766 | 0.75 | 100 | 0.6780 | 0.8225 |
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| 0.61 | 1.49 | 200 | 0.6279 | 0.8243 |
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| 0.4734 | 2.24 | 300 | 0.5593 | 0.8278 |
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| 0.5275 | 2.99 | 400 | 0.5148 | 0.8418 |
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| 0.3767 | 3.73 | 500 | 0.5129 | 0.8436 |
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| 0.3207 | 4.48 | 600 | 0.4966 | 0.8559 |
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| 0.3155 | 5.22 | 700 | 0.5251 | 0.8453 |
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| 0.2565 | 5.97 | 800 | 0.4790 | 0.8629 |
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| 0.2791 | 6.72 | 900 | 0.5111 | 0.8524 |
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| 0.1987 | 7.46 | 1000 | 0.5002 | 0.8453 |
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| 0.2083 | 8.21 | 1100 | 0.5034 | 0.8629 |
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| 0.2567 | 8.96 | 1200 | 0.4995 | 0.8576 |
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| 0.2127 | 9.7 | 1300 | 0.5034 | 0.8489 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"ViTForImageClassification"
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],
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{
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"_name_or_path": "Raihan004/Action_model",
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"architectures": [
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"ViTForImageClassification"
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],
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model.safetensors
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runs/May07_17-56-54_6cf576645707/events.out.tfevents.1715104615.6cf576645707.35.2
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training_args.bin
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