Commit
•
affe533
1
Parent(s):
96d0021
doodle-dash8
Browse files- README.md +10 -28
- all_results.json +10 -10
- config.json +20 -24
- model.safetensors +2 -2
- preprocessor_config.json +18 -3
- test_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +9 -771
- training_args.bin +2 -2
README.md
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---
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license: other
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base_model: apple/
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tags:
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- generated_from_trainer
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metrics:
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@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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# results
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This model is a fine-tuned version of [apple/
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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- train_batch_size: 256
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- eval_batch_size: 256
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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:
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.4668 | 0.28 | 5000 | 1.4146 | 0.6488 |
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| 1.3282 | 0.57 | 10000 | 1.2907 | 0.6766 |
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| 1.2617 | 0.85 | 15000 | 1.2270 | 0.6905 |
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| 1.196 | 1.14 | 20000 | 1.1758 | 0.7035 |
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| 1.1664 | 1.42 | 25000 | 1.1527 | 0.7093 |
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| 1.1504 | 1.71 | 30000 | 1.1152 | 0.7170 |
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| 1.1234 | 1.99 | 35000 | 1.0903 | 0.7241 |
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| 1.0819 | 2.28 | 40000 | 1.0728 | 0.7283 |
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| 1.0707 | 2.56 | 45000 | 1.0533 | 0.7334 |
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| 1.049 | 2.84 | 50000 | 1.0399 | 0.7369 |
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| 1.0017 | 3.13 | 55000 | 1.0253 | 0.7405 |
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| 0.995 | 3.41 | 60000 | 1.0120 | 0.7438 |
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| 0.9829 | 3.7 | 65000 | 0.9977 | 0.7468 |
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| 0.9807 | 3.98 | 70000 | 0.9908 | 0.7487 |
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| 0.9452 | 4.27 | 75000 | 0.9875 | 0.7498 |
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| 0.949 | 4.55 | 80000 | 0.9845 | 0.7507 |
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| 0.9509 | 4.84 | 85000 | 0.9841 | 0.7509 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.
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- Datasets 2.
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- Tokenizers 0.
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---
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license: other
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base_model: apple/mobilevitv2-1.0-imagenet1k-256
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tags:
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- generated_from_trainer
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metrics:
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# results
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This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6378
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- Accuracy: 0.84
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## Model description
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 42
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- distributed_type: multi-GPU
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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: 5
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos":
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 5.0,
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"eval_accuracy": 0.84,
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"eval_loss": 5.637753486633301,
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"eval_runtime": 0.5983,
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"eval_samples_per_second": 334.259,
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"eval_steps_per_second": 1.671,
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"total_flos": 429498709311488.0,
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"train_loss": 5.7403564453125,
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"train_runtime": 6.8068,
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"train_samples_per_second": 734.556,
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"train_steps_per_second": 2.938
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}
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config.json
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{
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"_name_or_path": "apple/
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"architectures": [
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"
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],
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"aspp_dropout_prob": 0.1,
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"aspp_out_channels":
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"atrous_rates": [
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6,
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12,
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18
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],
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"
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"
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"expand_ratio": 4.0,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.1,
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"hidden_sizes": [
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144,
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192,
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],
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"id2label": {
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"0": "aircraft carrier",
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"1": "airplane",
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "
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"
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96,
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128,
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160,
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],
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"num_attention_heads": 4,
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"num_channels": 1,
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"output_stride": 32,
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"patch_size": 2,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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{
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"_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
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"architectures": [
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"MobileViTV2ForImageClassification"
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],
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"aspp_dropout_prob": 0.1,
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"aspp_out_channels": 512,
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"atrous_rates": [
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6,
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12,
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18
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],
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"attn_dropout": 0.0,
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"base_attn_unit_dims": [
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128,
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192,
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256
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],
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"classifier_dropout_prob": 0.1,
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"conv_kernel_size": 3,
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"expand_ratio": 2.0,
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"ffn_dropout": 0.0,
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"ffn_multiplier": 2,
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"hidden_act": "swish",
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"id2label": {
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"0": "aircraft carrier",
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"1": "airplane",
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "mobilevitv2",
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"n_attn_blocks": [
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],
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"num_channels": 1,
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"output_stride": 32,
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"patch_size": 2,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"width_multiplier": 1.0
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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:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:64c40e94a7f11eb9e5f594ab9f6825b2f681c1da4fbb2aeffaaebabf0456aae3
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size 18360744
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preprocessor_config.json
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{
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"crop_size": {
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"height":
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"width":
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"do_center_crop": true,
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"do_convert_rgb": false,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge":
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{
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"_valid_processor_keys": [
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"images",
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"segmentation_maps",
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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_center_crop",
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"crop_size",
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"do_flip_channel_order",
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"return_tensors",
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"data_format",
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"input_data_format"
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"crop_size": {
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"height": 56,
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"width": 56
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"do_center_crop": true,
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"do_convert_rgb": false,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 56
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test_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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{
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"epoch": 5.0,
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train_results.json
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{
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"epoch": 5.0,
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"total_flos":
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"train_runtime":
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trainer_state.json
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"best_model_checkpoint": null,
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"eval_steps": 5000,
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|
| 11 |
{
|
| 12 |
"epoch": 5.0,
|
| 13 |
+
"step": 20,
|
| 14 |
+
"total_flos": 429498709311488.0,
|
| 15 |
+
"train_loss": 5.7403564453125,
|
| 16 |
+
"train_runtime": 6.8068,
|
| 17 |
+
"train_samples_per_second": 734.556,
|
| 18 |
+
"train_steps_per_second": 2.938
|
| 19 |
}
|
| 20 |
],
|
| 21 |
"logging_steps": 1000,
|
| 22 |
+
"max_steps": 20,
|
| 23 |
"num_input_tokens_seen": 0,
|
| 24 |
"num_train_epochs": 5,
|
| 25 |
"save_steps": 5000,
|
| 26 |
+
"total_flos": 429498709311488.0,
|
| 27 |
"train_batch_size": 256,
|
| 28 |
"trial_name": null,
|
| 29 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94028c98d450c3cf82efda505f3a584702831ed0c33a23dd3ade11963108d031
|
| 3 |
+
size 4984
|