End of training
Browse files- README.md +57 -0
- all_results.json +7 -0
- config.json +34 -0
- eval_results.json +7 -0
- model.safetensors +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: aoi_clip_high_resolution_eval
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/f3stbpvy)
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# aoi_clip_high_resolution_eval
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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: 2.5677
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- eval_accuracy: 0.2626
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- eval_runtime: 267.4204
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- eval_samples_per_second: 232.798
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- eval_steps_per_second: 5.822
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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: 1e-05
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- train_batch_size: 40
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- eval_batch_size: 40
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- seed: 42
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- gradient_accumulation_steps: 5
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- total_train_batch_size: 200
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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: 60.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"eval_accuracy": 0.26256525580274676,
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"eval_loss": 2.567708730697632,
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"eval_runtime": 267.4204,
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"eval_samples_per_second": 232.798,
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"eval_steps_per_second": 5.822
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}
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config.json
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{
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"_name_or_path": "/home/r12944053/CLIP_train/aoi_clip_high_resolution/checkpoint-18660",
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"architectures": [
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"ChineseCLIPImageDualModel"
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],
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"logit_scale_init_value": 2.6592,
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"model_type": "chinese_clip",
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"projection_dim": 512,
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"text_config": {
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"architectures": [
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"ChineseCLIPTextModel"
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],
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"bos_token_id": 0,
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"directionality": "bidi",
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"eos_token_id": 2,
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"model_type": "chinese_clip_text_model",
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"output_past": true,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"vocab_size": 21128
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},
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"vision_config": {
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"dropout": 0.0,
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"model_type": "chinese_clip_vision_model",
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"patch_size": 16
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}
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}
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eval_results.json
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{
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"eval_accuracy": 0.26256525580274676,
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"eval_loss": 2.567708730697632,
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"eval_runtime": 267.4204,
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"eval_samples_per_second": 232.798,
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"eval_steps_per_second": 5.822
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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 sha256:17c5980b874183119e2ac808088ee7ddb0884a8500bfd4f9092bd580b6ebafb0
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size 1162455388
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:121bcecbb2b3231c8e67f2b39ca172b4bb72ba2f07b82d003bbfeb2220735217
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size 5176
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