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Object Detection
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detr
Generated from Trainer
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  1. README.md +182 -0
  2. config.json +151 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +26 -0
  5. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/detr-resnet-50-dc5
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: checkpoints
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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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+ # checkpoints
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+
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+ This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3614
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+ - Map: 0.0116
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+ - Map 50: 0.0224
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+ - Map 75: 0.0105
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+ - Map Small: 0.0058
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+ - Map Medium: 0.0165
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+ - Map Large: 0.0098
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+ - Mar 1: 0.0323
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+ - Mar 10: 0.0618
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+ - Mar 100: 0.0643
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+ - Mar Small: 0.0215
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+ - Mar Medium: 0.0607
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+ - Mar Large: 0.0811
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+ - Map Shirt, blouse: 0.0
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+ - Mar 100 Shirt, blouse: 0.0
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+ - Map Top, t-shirt, sweatshirt: 0.0234
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+ - Mar 100 Top, t-shirt, sweatshirt: 0.3322
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+ - Map Sweater: 0.0
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+ - Mar 100 Sweater: 0.0
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+ - Map Cardigan: 0.0
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+ - Mar 100 Cardigan: 0.0
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+ - Map Jacket: 0.0
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+ - Mar 100 Jacket: 0.0
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+ - Map Vest: 0.0
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+ - Mar 100 Vest: 0.0
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+ - Map Pants: 0.1092
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+ - Mar 100 Pants: 0.6471
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+ - Map Shorts: 0.0
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+ - Mar 100 Shorts: 0.0
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+ - Map Skirt: 0.0
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+ - Mar 100 Skirt: 0.0
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+ - Map Coat: 0.0
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+ - Mar 100 Coat: 0.0
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+ - Map Dress: 0.0869
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+ - Mar 100 Dress: 0.7291
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+ - Map Jumpsuit: 0.0
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+ - Mar 100 Jumpsuit: 0.0
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+ - Map Cape: 0.0
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+ - Mar 100 Cape: 0.0
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+ - Map Glasses: 0.0
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+ - Mar 100 Glasses: 0.0
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+ - Map Hat: 0.0
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+ - Mar 100 Hat: 0.0
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+ - Map Headband, head covering, hair accessory: 0.0
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+ - Mar 100 Headband, head covering, hair accessory: 0.0
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+ - Map Tie: 0.0
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+ - Mar 100 Tie: 0.0
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+ - Map Glove: 0.0
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+ - Mar 100 Glove: 0.0
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+ - Map Watch: 0.0
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+ - Mar 100 Watch: 0.0
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+ - Map Belt: 0.0069
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+ - Mar 100 Belt: 0.0043
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+ - Map Leg warmer: 0.0
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+ - Mar 100 Leg warmer: 0.0
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+ - Map Tights, stockings: 0.0
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+ - Mar 100 Tights, stockings: 0.0
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+ - Map Sock: 0.0
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+ - Mar 100 Sock: 0.0
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+ - Map Shoe: 0.2046
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+ - Mar 100 Shoe: 0.4928
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+ - Map Bag, wallet: 0.0
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+ - Mar 100 Bag, wallet: 0.0
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+ - Map Scarf: 0.0
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+ - Mar 100 Scarf: 0.0
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+ - Map Umbrella: 0.0
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+ - Mar 100 Umbrella: 0.0
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+ - Map Hood: 0.0
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+ - Mar 100 Hood: 0.0
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+ - Map Collar: 0.0
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+ - Mar 100 Collar: 0.0
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+ - Map Lapel: 0.0
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+ - Mar 100 Lapel: 0.0
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+ - Map Epaulette: 0.0
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+ - Mar 100 Epaulette: 0.0
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+ - Map Sleeve: 0.0724
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+ - Mar 100 Sleeve: 0.4613
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+ - Map Pocket: 0.0001
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+ - Mar 100 Pocket: 0.042
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+ - Map Neckline: 0.0292
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+ - Mar 100 Neckline: 0.2495
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+ - Map Buckle: 0.0
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+ - Mar 100 Buckle: 0.0
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+ - Map Zipper: 0.0
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+ - Mar 100 Zipper: 0.0
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+ - Map Applique: 0.0
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+ - Mar 100 Applique: 0.0
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+ - Map Bead: 0.0
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+ - Mar 100 Bead: 0.0
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+ - Map Bow: 0.0
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+ - Mar 100 Bow: 0.0
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+ - Map Flower: 0.0
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+ - Mar 100 Flower: 0.0
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+ - Map Fringe: 0.0
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+ - Mar 100 Fringe: 0.0
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+ - Map Ribbon: 0.0
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+ - Mar 100 Ribbon: 0.0
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+ - Map Rivet: 0.0
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+ - Mar 100 Rivet: 0.0
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+ - Map Ruffle: 0.0
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+ - Mar 100 Ruffle: 0.0
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+ - Map Sequin: 0.0
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+ - Mar 100 Sequin: 0.0
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+ - Map Tassel: 0.0
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+ - Mar 100 Tassel: 0.0
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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-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - training_steps: 10000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Shirt, blouse | Mar 100 Shirt, blouse | Map Top, t-shirt, sweatshirt | Mar 100 Top, t-shirt, sweatshirt | Map Sweater | Mar 100 Sweater | Map Cardigan | Mar 100 Cardigan | Map Jacket | Mar 100 Jacket | Map Vest | Mar 100 Vest | Map Pants | Mar 100 Pants | Map Shorts | Mar 100 Shorts | Map Skirt | Mar 100 Skirt | Map Coat | Mar 100 Coat | Map Dress | Mar 100 Dress | Map Jumpsuit | Mar 100 Jumpsuit | Map Cape | Mar 100 Cape | Map Glasses | Mar 100 Glasses | Map Hat | Mar 100 Hat | Map Headband, head covering, hair accessory | Mar 100 Headband, head covering, hair accessory | Map Tie | Mar 100 Tie | Map Glove | Mar 100 Glove | Map Watch | Mar 100 Watch | Map Belt | Mar 100 Belt | Map Leg warmer | Mar 100 Leg warmer | Map Tights, stockings | Mar 100 Tights, stockings | Map Sock | Mar 100 Sock | Map Shoe | Mar 100 Shoe | Map Bag, wallet | Mar 100 Bag, wallet | Map Scarf | Mar 100 Scarf | Map Umbrella | Mar 100 Umbrella | Map Hood | Mar 100 Hood | Map Collar | Mar 100 Collar | Map Lapel | Mar 100 Lapel | Map Epaulette | Mar 100 Epaulette | Map Sleeve | Mar 100 Sleeve | Map Pocket | Mar 100 Pocket | Map Neckline | Mar 100 Neckline | Map Buckle | Mar 100 Buckle | Map Zipper | Mar 100 Zipper | Map Applique | Mar 100 Applique | Map Bead | Mar 100 Bead | Map Bow | Mar 100 Bow | Map Flower | Mar 100 Flower | Map Fringe | Mar 100 Fringe | Map Ribbon | Mar 100 Ribbon | Map Rivet | Mar 100 Rivet | Map Ruffle | Mar 100 Ruffle | Map Sequin | Mar 100 Sequin | Map Tassel | Mar 100 Tassel |
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+ |:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-----------------:|:---------------------:|:----------------------------:|:--------------------------------:|:-----------:|:---------------:|:------------:|:----------------:|:----------:|:--------------:|:--------:|:------------:|:---------:|:-------------:|:----------:|:--------------:|:---------:|:-------------:|:--------:|:------------:|:---------:|:-------------:|:------------:|:----------------:|:--------:|:------------:|:-----------:|:---------------:|:-------:|:-----------:|:-------------------------------------------:|:-----------------------------------------------:|:-------:|:-----------:|:---------:|:-------------:|:---------:|:-------------:|:--------:|:------------:|:--------------:|:------------------:|:---------------------:|:-------------------------:|:--------:|:------------:|:--------:|:------------:|:---------------:|:-------------------:|:---------:|:-------------:|:------------:|:----------------:|:--------:|:------------:|:----------:|:--------------:|:---------:|:-------------:|:-------------:|:-----------------:|:----------:|:--------------:|:----------:|:--------------:|:------------:|:----------------:|:----------:|:--------------:|:----------:|:--------------:|:------------:|:----------------:|:--------:|:------------:|:-------:|:-----------:|:----------:|:--------------:|:----------:|:--------------:|:----------:|:--------------:|:---------:|:-------------:|:----------:|:--------------:|:----------:|:--------------:|:----------:|:--------------:|
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+ | 4.3049 | 0.0438 | 500 | 3.6778 | 0.0005 | 0.0016 | 0.0001 | 0.001 | 0.0006 | 0.0006 | 0.0013 | 0.0048 | 0.0091 | 0.0056 | 0.0112 | 0.0279 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0169 | 0.1377 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0051 | 0.2822 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 4.0072 | 0.0877 | 1000 | 3.2435 | 0.0021 | 0.0056 | 0.001 | 0.0023 | 0.0028 | 0.0005 | 0.0039 | 0.0114 | 0.0155 | 0.0104 | 0.0205 | 0.0298 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.083 | 0.3566 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0154 | 0.3576 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 3.2281 | 0.1315 | 1500 | 3.0550 | 0.0033 | 0.0081 | 0.0021 | 0.0029 | 0.0046 | 0.0002 | 0.0059 | 0.015 | 0.0181 | 0.013 | 0.0235 | 0.0288 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0075 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1173 | 0.3901 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0267 | 0.3585 | 0.0 | 0.0 | 0.0061 | 0.0772 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 3.2953 | 0.1753 | 2000 | 2.9315 | 0.0034 | 0.0084 | 0.0021 | 0.0024 | 0.0053 | 0.0009 | 0.0076 | 0.0197 | 0.0227 | 0.0161 | 0.0265 | 0.024 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0098 | 0.1102 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1012 | 0.4111 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.032 | 0.3735 | 0.0 | 0.0006 | 0.0118 | 0.1481 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.5306 | 0.2192 | 2500 | 2.8260 | 0.0042 | 0.0105 | 0.0028 | 0.0028 | 0.0057 | 0.002 | 0.0093 | 0.0241 | 0.0273 | 0.0177 | 0.0284 | 0.0343 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0002 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0318 | 0.2535 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1067 | 0.4251 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0354 | 0.3962 | 0.0 | 0.0026 | 0.0205 | 0.1784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.8446 | 0.2630 | 3000 | 2.7502 | 0.0051 | 0.0113 | 0.004 | 0.0034 | 0.0058 | 0.003 | 0.012 | 0.0283 | 0.0314 | 0.0161 | 0.0313 | 0.0446 | 0.0 | 0.0 | 0.0002 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0132 | 0.065 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0338 | 0.3398 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1305 | 0.4584 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0385 | 0.4044 | 0.0 | 0.0078 | 0.018 | 0.1688 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.3798 | 0.3069 | 3500 | 2.6691 | 0.0065 | 0.0138 | 0.0053 | 0.0031 | 0.0065 | 0.0057 | 0.0185 | 0.0375 | 0.0407 | 0.0181 | 0.0334 | 0.056 | 0.0 | 0.0 | 0.001 | 0.0063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0486 | 0.2917 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0645 | 0.5028 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1233 | 0.4518 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0419 | 0.3999 | 0.0 | 0.0108 | 0.0185 | 0.2072 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 1.8111 | 0.3507 | 4000 | 2.6270 | 0.0074 | 0.0159 | 0.0062 | 0.0037 | 0.0075 | 0.0065 | 0.0219 | 0.0415 | 0.0443 | 0.0168 | 0.0354 | 0.0607 | 0.0 | 0.0 | 0.0086 | 0.0486 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0581 | 0.3519 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0753 | 0.5732 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1428 | 0.4334 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0409 | 0.4027 | 0.0 | 0.0216 | 0.0165 | 0.2056 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.3798 | 0.3945 | 4500 | 2.5748 | 0.0076 | 0.0157 | 0.0066 | 0.0041 | 0.01 | 0.0061 | 0.0233 | 0.0486 | 0.0515 | 0.018 | 0.042 | 0.074 | 0.0 | 0.0 | 0.013 | 0.1139 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0528 | 0.4863 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0582 | 0.6506 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1605 | 0.4713 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0394 | 0.4381 | 0.0 | 0.0184 | 0.0258 | 0.1922 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.3017 | 0.4384 | 5000 | 2.5355 | 0.0079 | 0.0162 | 0.007 | 0.0044 | 0.0113 | 0.0063 | 0.0259 | 0.0521 | 0.0553 | 0.0198 | 0.0462 | 0.0793 | 0.0 | 0.0 | 0.0149 | 0.1621 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0607 | 0.5462 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0504 | 0.6648 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1652 | 0.4824 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0485 | 0.4417 | 0.0001 | 0.0277 | 0.0251 | 0.2184 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
165
+ | 2.1818 | 0.4822 | 5500 | 2.5019 | 0.0088 | 0.0176 | 0.0077 | 0.005 | 0.0118 | 0.0071 | 0.0267 | 0.0547 | 0.0575 | 0.0197 | 0.0497 | 0.0811 | 0.0 | 0.0 | 0.0231 | 0.1979 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0749 | 0.5796 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0573 | 0.6902 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1711 | 0.4896 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0502 | 0.4463 | 0.0001 | 0.0307 | 0.026 | 0.2118 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
166
+ | 3.7264 | 0.5260 | 6000 | 2.4801 | 0.0088 | 0.0182 | 0.0074 | 0.0046 | 0.013 | 0.0077 | 0.0271 | 0.0559 | 0.0587 | 0.0199 | 0.0517 | 0.0756 | 0.0 | 0.0 | 0.0226 | 0.256 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0777 | 0.5854 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.066 | 0.6799 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1535 | 0.459 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0612 | 0.4444 | 0.0001 | 0.0318 | 0.0248 | 0.2458 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
167
+ | 3.2463 | 0.5699 | 6500 | 2.4314 | 0.0102 | 0.0202 | 0.0093 | 0.0053 | 0.014 | 0.0087 | 0.0301 | 0.0584 | 0.061 | 0.02 | 0.0575 | 0.0802 | 0.0 | 0.0 | 0.0268 | 0.2933 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0838 | 0.6035 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0839 | 0.7102 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1921 | 0.476 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0588 | 0.4496 | 0.0001 | 0.0387 | 0.0258 | 0.2329 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
168
+ | 2.9215 | 0.6137 | 7000 | 2.4212 | 0.0103 | 0.0201 | 0.0094 | 0.0054 | 0.0144 | 0.0088 | 0.03 | 0.0598 | 0.0624 | 0.0211 | 0.058 | 0.0812 | 0.0 | 0.0 | 0.024 | 0.2928 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0984 | 0.6293 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0724 | 0.7242 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1887 | 0.4963 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.063 | 0.4455 | 0.0001 | 0.0428 | 0.0268 | 0.2391 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
169
+ | 2.9853 | 0.6575 | 7500 | 2.4040 | 0.0109 | 0.0209 | 0.01 | 0.0056 | 0.0152 | 0.0091 | 0.03 | 0.0601 | 0.0629 | 0.0216 | 0.0599 | 0.0792 | 0.0 | 0.0 | 0.0232 | 0.3118 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1049 | 0.6156 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0731 | 0.7404 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2057 | 0.4923 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0663 | 0.4531 | 0.0001 | 0.0368 | 0.0264 | 0.2431 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
170
+ | 2.7586 | 0.7014 | 8000 | 2.4094 | 0.0106 | 0.0212 | 0.0097 | 0.0054 | 0.0157 | 0.0089 | 0.0304 | 0.0591 | 0.0619 | 0.0216 | 0.0588 | 0.0788 | 0.0 | 0.0 | 0.024 | 0.3101 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1042 | 0.6143 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0751 | 0.7167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1962 | 0.4804 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0651 | 0.4502 | 0.0001 | 0.0385 | 0.024 | 0.2379 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 2.5399 | 0.7452 | 8500 | 2.3802 | 0.0106 | 0.0207 | 0.0097 | 0.0055 | 0.0153 | 0.0089 | 0.0311 | 0.061 | 0.0633 | 0.0212 | 0.0594 | 0.0808 | 0.0 | 0.0 | 0.0236 | 0.344 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0952 | 0.6468 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0779 | 0.7134 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1989 | 0.4838 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.066 | 0.4451 | 0.0001 | 0.0422 | 0.0272 | 0.2379 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 3.2245 | 0.7891 | 9000 | 2.3654 | 0.0112 | 0.0216 | 0.0102 | 0.0056 | 0.0155 | 0.0095 | 0.0318 | 0.0613 | 0.064 | 0.0217 | 0.0611 | 0.0808 | 0.0 | 0.0 | 0.0241 | 0.3248 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1051 | 0.6465 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0847 | 0.7272 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.201 | 0.4872 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.071 | 0.458 | 0.0001 | 0.0433 | 0.029 | 0.2575 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
173
+ | 2.3969 | 0.8329 | 9500 | 2.3674 | 0.0114 | 0.0221 | 0.0104 | 0.0057 | 0.0163 | 0.0095 | 0.0316 | 0.0615 | 0.0641 | 0.0212 | 0.0604 | 0.0804 | 0.0 | 0.0 | 0.0236 | 0.3309 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1071 | 0.6446 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0835 | 0.7287 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0069 | 0.0043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2008 | 0.4869 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0716 | 0.4598 | 0.0001 | 0.0418 | 0.0295 | 0.2494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
174
+ | 2.8285 | 0.8767 | 10000 | 2.3614 | 0.0116 | 0.0224 | 0.0105 | 0.0058 | 0.0165 | 0.0098 | 0.0323 | 0.0618 | 0.0643 | 0.0215 | 0.0607 | 0.0811 | 0.0 | 0.0 | 0.0234 | 0.3322 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1092 | 0.6471 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0869 | 0.7291 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0069 | 0.0043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2046 | 0.4928 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0724 | 0.4613 | 0.0001 | 0.042 | 0.0292 | 0.2495 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
175
+
176
+
177
+ ### Framework versions
178
+
179
+ - Transformers 4.51.3
180
+ - Pytorch 2.6.0+cu124
181
+ - Datasets 3.5.0
182
+ - Tokenizers 0.21.1
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