Model save
Browse files- README.md +4 -4
- all_results.json +11 -11
- eval_results.json +6 -6
- model.safetensors +1 -1
- runs/Sep24_13-50-15_37647b9c0688/events.out.tfevents.1727186045.37647b9c0688.3797.2 +3 -0
- runs/Sep24_13-50-15_37647b9c0688/events.out.tfevents.1727186162.37647b9c0688.3797.3 +3 -0
- runs/Sep24_13-50-15_37647b9c0688/events.out.tfevents.1727186206.37647b9c0688.3797.4 +3 -0
- train_results.json +6 -6
- trainer_state.json +106 -3071
README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown 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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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4633
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- Accuracy: 0.8836
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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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| 0.1137 | 1.9231 | 100 | 0.4869 | 0.8288 |
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| 0.1002 | 3.8462 | 200 | 0.4633 | 0.8836 |
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### Framework versions
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all_results.json
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| 177 |
}
|
| 178 |
],
|
| 179 |
"logging_steps": 10,
|
| 180 |
+
"max_steps": 208,
|
| 181 |
"num_input_tokens_seen": 0,
|
| 182 |
+
"num_train_epochs": 4,
|
| 183 |
"save_steps": 100,
|
| 184 |
"stateful_callbacks": {
|
| 185 |
"TrainerControl": {
|
|
|
|
| 193 |
"attributes": {}
|
| 194 |
}
|
| 195 |
},
|
| 196 |
+
"total_flos": 2.5832369176982323e+17,
|
| 197 |
"train_batch_size": 16,
|
| 198 |
"trial_name": null,
|
| 199 |
"trial_params": null
|