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swiftformer-xs-dmae-va-U5-80C

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swiftformer
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  2. model.safetensors +1 -1
  3. runs/Apr18_22-08-25_DESKTOP-SKBE9FB/events.out.tfevents.1713499706.DESKTOP-SKBE9FB.3580.0 +2 -2
README.md ADDED
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+ ---
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+ base_model: MBZUAI/swiftformer-xs
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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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+ model-index:
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+ - name: swiftformer-xs-dmae-va-U5-42C
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+ results: []
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+ ---
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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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+
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+ # swiftformer-xs-dmae-va-U5-42C
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+
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+ This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6873
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+ - Accuracy: 0.7333
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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: 80
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.9 | 7 | 1.3856 | 0.4667 |
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+ | 1.3855 | 1.94 | 15 | 1.3819 | 0.4833 |
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+ | 1.3855 | 2.97 | 23 | 1.3687 | 0.4333 |
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+ | 1.3742 | 4.0 | 31 | 1.3189 | 0.3167 |
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+ | 1.3004 | 4.9 | 38 | 1.2501 | 0.4833 |
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+ | 1.3004 | 5.94 | 46 | 1.2268 | 0.4833 |
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+ | 1.1716 | 6.97 | 54 | 1.2115 | 0.5 |
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+ | 1.0686 | 8.0 | 62 | 1.2243 | 0.5333 |
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+ | 1.0686 | 8.9 | 69 | 1.1432 | 0.55 |
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+ | 0.9764 | 9.94 | 77 | 1.0205 | 0.55 |
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+ | 0.873 | 10.97 | 85 | 0.9721 | 0.6 |
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+ | 0.873 | 12.0 | 93 | 0.9221 | 0.5667 |
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+ | 0.7822 | 12.9 | 100 | 0.8593 | 0.6167 |
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+ | 0.664 | 13.94 | 108 | 0.7775 | 0.7 |
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+ | 0.664 | 14.97 | 116 | 0.8117 | 0.6167 |
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+ | 0.5439 | 16.0 | 124 | 0.7553 | 0.6833 |
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+ | 0.5439 | 16.9 | 131 | 0.6697 | 0.7167 |
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+ | 0.496 | 17.94 | 139 | 0.6480 | 0.7333 |
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+ | 0.4563 | 18.97 | 147 | 0.7115 | 0.7333 |
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+ | 0.4563 | 20.0 | 155 | 0.6777 | 0.7167 |
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+ | 0.3831 | 20.9 | 162 | 0.6416 | 0.7667 |
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+ | 0.339 | 21.94 | 170 | 0.7040 | 0.7 |
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+ | 0.339 | 22.97 | 178 | 0.6859 | 0.7167 |
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+ | 0.3033 | 24.0 | 186 | 0.6012 | 0.7 |
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+ | 0.2655 | 24.9 | 193 | 0.5440 | 0.7833 |
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+ | 0.2655 | 25.94 | 201 | 0.6174 | 0.75 |
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+ | 0.2269 | 26.97 | 209 | 0.5745 | 0.7333 |
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+ | 0.2472 | 28.0 | 217 | 0.5688 | 0.8 |
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+ | 0.2472 | 28.9 | 224 | 0.6578 | 0.75 |
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+ | 0.2004 | 29.94 | 232 | 0.5811 | 0.7833 |
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+ | 0.2099 | 30.97 | 240 | 0.6672 | 0.75 |
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+ | 0.2099 | 32.0 | 248 | 0.5927 | 0.75 |
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+ | 0.1834 | 32.9 | 255 | 0.6193 | 0.7667 |
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+ | 0.1834 | 33.94 | 263 | 0.7505 | 0.7167 |
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+ | 0.2248 | 34.97 | 271 | 0.7730 | 0.7333 |
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+ | 0.1571 | 36.0 | 279 | 0.6211 | 0.7333 |
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+ | 0.1571 | 36.9 | 286 | 0.6228 | 0.7167 |
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+ | 0.1983 | 37.94 | 294 | 0.6088 | 0.7167 |
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+ | 0.1629 | 38.97 | 302 | 0.7009 | 0.75 |
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+ | 0.1629 | 40.0 | 310 | 0.7285 | 0.75 |
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+ | 0.1547 | 40.9 | 317 | 0.6401 | 0.7667 |
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+ | 0.1548 | 41.94 | 325 | 0.6123 | 0.7833 |
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+ | 0.1548 | 42.97 | 333 | 0.6317 | 0.8 |
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+ | 0.1566 | 44.0 | 341 | 0.7579 | 0.7167 |
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+ | 0.1361 | 44.9 | 348 | 0.6653 | 0.7167 |
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+ | 0.1361 | 45.94 | 356 | 0.7401 | 0.7333 |
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+ | 0.1273 | 46.97 | 364 | 0.8404 | 0.7333 |
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+ | 0.1312 | 48.0 | 372 | 0.8388 | 0.75 |
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+ | 0.1312 | 48.9 | 379 | 0.7823 | 0.7667 |
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+ | 0.1307 | 49.94 | 387 | 0.6980 | 0.7167 |
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+ | 0.1307 | 50.97 | 395 | 0.7589 | 0.75 |
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+ | 0.1061 | 52.0 | 403 | 0.6644 | 0.7333 |
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+ | 0.1186 | 52.9 | 410 | 0.7057 | 0.7333 |
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+ | 0.1186 | 53.94 | 418 | 0.6744 | 0.8167 |
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+ | 0.1108 | 54.97 | 426 | 0.6328 | 0.7667 |
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+ | 0.1014 | 56.0 | 434 | 0.6402 | 0.7833 |
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+ | 0.1014 | 56.9 | 441 | 0.6631 | 0.75 |
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+ | 0.1082 | 57.94 | 449 | 0.7001 | 0.7333 |
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+ | 0.1118 | 58.97 | 457 | 0.7898 | 0.7333 |
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+ | 0.1118 | 60.0 | 465 | 0.7644 | 0.7333 |
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+ | 0.1051 | 60.9 | 472 | 0.7767 | 0.7333 |
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+ | 0.0979 | 61.94 | 480 | 0.7440 | 0.7333 |
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+ | 0.0979 | 62.97 | 488 | 0.6827 | 0.7333 |
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+ | 0.0834 | 64.0 | 496 | 0.7008 | 0.7333 |
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+ | 0.0834 | 64.9 | 503 | 0.7243 | 0.7167 |
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+ | 0.0963 | 65.94 | 511 | 0.7656 | 0.7333 |
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+ | 0.0989 | 66.97 | 519 | 0.7332 | 0.7333 |
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+ | 0.0989 | 68.0 | 527 | 0.7624 | 0.7333 |
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+ | 0.107 | 68.9 | 534 | 0.7292 | 0.75 |
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+ | 0.0987 | 69.94 | 542 | 0.7169 | 0.7333 |
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+ | 0.0987 | 70.97 | 550 | 0.7462 | 0.7333 |
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+ | 0.0956 | 72.0 | 558 | 0.6656 | 0.75 |
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+ | 0.0956 | 72.26 | 560 | 0.6873 | 0.7333 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.2+cu118
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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