End of training
Browse files- README.md +9 -13
- all_results.json +6 -6
- eval_results.json +6 -6
- model.safetensors +1 -1
README.md
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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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This model is a fine-tuned version of [motheecreator/vit-Facial-Expression-Recognition](https://huggingface.co/motheecreator/vit-Facial-Expression-Recognition) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.5185 | 6.9904 | 630 | 0.6582 | 0.7772 |
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| 0.484 | 7.9904 | 720 | 0.6471 | 0.7791 |
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| 0.5401 | 8.9904 | 810 | 0.6481 | 0.7803 |
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| 0.5254 | 9.9904 | 900 | 0.6568 | 0.7726 |
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7843002237906697
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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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This model is a fine-tuned version of [motheecreator/vit-Facial-Expression-Recognition](https://huggingface.co/motheecreator/vit-Facial-Expression-Recognition) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6537
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- Accuracy: 0.7843
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.6131 | 0.9904 | 90 | 0.6537 | 0.7843 |
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| 0.5963 | 1.9904 | 180 | 0.6502 | 0.7824 |
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| 0.5716 | 2.9904 | 270 | 0.6506 | 0.7783 |
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| 0.5616 | 3.9904 | 360 | 0.6429 | 0.7821 |
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| 0.5272 | 4.9904 | 450 | 0.6516 | 0.7772 |
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| 0.5064 | 5.9904 | 540 | 0.6446 | 0.7764 |
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### Framework versions
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all_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime": 43.
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"eval_samples_per_second": 134.
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"eval_steps_per_second": 4.
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}
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{
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"epoch": 5.990371389270977,
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"eval_accuracy": 0.7843002237906697,
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"eval_loss": 0.6536709070205688,
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"eval_runtime": 43.2062,
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"eval_samples_per_second": 134.448,
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"eval_steps_per_second": 4.212
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}
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eval_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime": 43.
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"eval_samples_per_second": 134.
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"eval_steps_per_second": 4.
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}
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{
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"epoch": 5.990371389270977,
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"eval_accuracy": 0.7843002237906697,
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"eval_loss": 0.6536709070205688,
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"eval_runtime": 43.2062,
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"eval_samples_per_second": 134.448,
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"eval_steps_per_second": 4.212
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343242432
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version https://git-lfs.github.com/spec/v1
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size 343242432
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