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End of training

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  1. README.md +57 -0
  2. all_results.json +7 -0
  3. config.json +34 -0
  4. eval_results.json +7 -0
  5. model.safetensors +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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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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+
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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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+ [<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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+
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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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+
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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: 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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+
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+ ### Framework versions
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+
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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
all_results.json ADDED
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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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+ }
config.json ADDED
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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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+ }
eval_results.json ADDED
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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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