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clip-finetuned-csu-p14-336-e3l17-l

Zero-Shot Image Classification
Transformers
TensorBoard
Safetensors
clip
Generated from Trainer
Inference Endpoints
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  1. README.md +112 -0
  2. runs/Aug24_08-08-57_winter-park/events.out.tfevents.1724508555.winter-park.3371039.0 +2 -2
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: openai/clip-vit-large-patch14-336
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: clip-finetuned-csu-p14-336-e3l17-l
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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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+ # clip-finetuned-csu-p14-336-e3l17-l
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+
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+ This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7105
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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: 1e-07
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+ - train_batch_size: 128
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+ - eval_batch_size: 8
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.4515 | 0.0533 | 500 | 1.3851 |
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+ | 0.4148 | 0.1067 | 1000 | 1.2841 |
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+ | 0.3281 | 0.1600 | 1500 | 1.2113 |
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+ | 0.2912 | 0.2133 | 2000 | 1.1590 |
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+ | 0.3073 | 0.2666 | 2500 | 1.1095 |
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+ | 0.2446 | 0.3200 | 3000 | 1.0693 |
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+ | 0.273 | 0.3733 | 3500 | 1.0431 |
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+ | 0.193 | 0.4266 | 4000 | 1.0196 |
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+ | 0.2419 | 0.4799 | 4500 | 0.9946 |
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+ | 0.2577 | 0.5333 | 5000 | 0.9679 |
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+ | 0.2468 | 0.5866 | 5500 | 0.9470 |
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+ | 0.2148 | 0.6399 | 6000 | 0.9275 |
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+ | 0.179 | 0.6933 | 6500 | 0.9108 |
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+ | 0.1992 | 0.7466 | 7000 | 0.8946 |
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+ | 0.2264 | 0.7999 | 7500 | 0.8791 |
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+ | 0.2349 | 0.8532 | 8000 | 0.8649 |
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+ | 0.1869 | 0.9066 | 8500 | 0.8521 |
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+ | 0.1859 | 0.9599 | 9000 | 0.8395 |
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+ | 0.1943 | 1.0132 | 9500 | 0.8300 |
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+ | 0.1419 | 1.0666 | 10000 | 0.8227 |
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+ | 0.1558 | 1.1199 | 10500 | 0.8159 |
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+ | 0.15 | 1.1732 | 11000 | 0.8096 |
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+ | 0.1919 | 1.2265 | 11500 | 0.8024 |
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+ | 0.1298 | 1.2799 | 12000 | 0.7956 |
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+ | 0.1385 | 1.3332 | 12500 | 0.7921 |
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+ | 0.1414 | 1.3865 | 13000 | 0.7885 |
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+ | 0.1549 | 1.4398 | 13500 | 0.7810 |
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+ | 0.126 | 1.4932 | 14000 | 0.7772 |
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+ | 0.1518 | 1.5465 | 14500 | 0.7739 |
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+ | 0.1143 | 1.5998 | 15000 | 0.7703 |
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+ | 0.161 | 1.6532 | 15500 | 0.7639 |
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+ | 0.1277 | 1.7065 | 16000 | 0.7590 |
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+ | 0.1394 | 1.7598 | 16500 | 0.7563 |
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+ | 0.1253 | 1.8131 | 17000 | 0.7550 |
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+ | 0.2146 | 1.8665 | 17500 | 0.7488 |
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+ | 0.1267 | 1.9198 | 18000 | 0.7466 |
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+ | 0.1564 | 1.9731 | 18500 | 0.7438 |
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+ | 0.1355 | 2.0265 | 19000 | 0.7396 |
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+ | 0.1228 | 2.0798 | 19500 | 0.7349 |
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+ | 0.1082 | 2.1331 | 20000 | 0.7337 |
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+ | 0.1353 | 2.1864 | 20500 | 0.7330 |
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+ | 0.0925 | 2.2398 | 21000 | 0.7304 |
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+ | 0.1721 | 2.2931 | 21500 | 0.7284 |
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+ | 0.1017 | 2.3464 | 22000 | 0.7276 |
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+ | 0.1395 | 2.3997 | 22500 | 0.7246 |
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+ | 0.1144 | 2.4531 | 23000 | 0.7219 |
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+ | 0.1308 | 2.5064 | 23500 | 0.7202 |
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+ | 0.1288 | 2.5597 | 24000 | 0.7179 |
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+ | 0.1179 | 2.6131 | 24500 | 0.7156 |
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+ | 0.1028 | 2.6664 | 25000 | 0.7145 |
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+ | 0.1291 | 2.7197 | 25500 | 0.7132 |
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+ | 0.105 | 2.7730 | 26000 | 0.7120 |
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+ | 0.1124 | 2.8264 | 26500 | 0.7114 |
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+ | 0.1185 | 2.8797 | 27000 | 0.7108 |
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+ | 0.0909 | 2.9330 | 27500 | 0.7107 |
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+ | 0.1385 | 2.9863 | 28000 | 0.7105 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 1.12.1
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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