Commit
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ca76759
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Parent(s):
dab11b7
Model save
Browse files- README.md +53 -0
- config.json +44 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May20_10-28-55_e94663a06711/events.out.tfevents.1716201008.e94663a06711.33.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: test-load-weight
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results: []
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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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# test-load-weight
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 2.2554
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- eval_accuracy: 0.1375
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- eval_runtime: 27.3381
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- eval_samples_per_second: 2.926
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- eval_steps_per_second: 0.366
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 32
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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: 10
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2+cpu
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "/kaggle/input/pthfile",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6,
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"7": 7
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3"
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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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oid sha256:3bdec799f227c394d6b416f98d65ea742d4445d392397a5cc63bf84d36995308
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size 343242432
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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runs/May20_10-28-55_e94663a06711/events.out.tfevents.1716201008.e94663a06711.33.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e2feea0838f56fb80e16e5626b4af61c9c4ab2cc968c04e1377a1b2c285b368
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size 346
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:01c3babec429e3a7754af839c84a858576e4c8ba570b53660b1ca400093a83b3
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size 4920
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