End of training
Browse files- README.md +10 -23
- all_results.json +6 -0
- config.json +1 -1
- eval_results.json +6 -0
- training_args.bin +1 -1
README.md
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---
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base_model: OFA-Sys/chinese-clip-vit-base-patch16
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tags:
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- generated_from_trainer
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model-index:
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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/
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# aoi_clip
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This model
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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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: 100.0
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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 |
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| 0.48 | 10.0 | 4350 | 3.6518 |
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| 0.1193 | 20.0 | 8700 | 3.4536 |
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| 0.0925 | 30.0 | 13050 | 3.4170 |
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| 0.0827 | 40.0 | 17400 | 3.3203 |
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| 0.0755 | 50.0 | 21750 | 3.1961 |
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| 0.0685 | 60.0 | 26100 | 3.1110 |
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| 0.0664 | 70.0 | 30450 | 3.0240 |
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| 0.0621 | 80.0 | 34800 | 2.9804 |
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| 0.0596 | 90.0 | 39150 | 2.8957 |
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| 0.0576 | 100.0 | 43500 | 2.8544 |
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### Framework versions
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- Transformers 4.42.3
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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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<!-- 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/lrfssoo7)
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# aoi_clip
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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: 1.2665
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- eval_runtime: 90.2216
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- eval_samples_per_second: 192.448
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- eval_steps_per_second: 48.115
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- step: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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: 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: 100.0
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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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all_results.json
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{
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"eval_loss": 1.266502857208252,
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"eval_runtime": 90.2216,
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"eval_samples_per_second": 192.448,
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"eval_steps_per_second": 48.115
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}
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"ChineseCLIPImageDualModel"
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],
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{
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"_name_or_path": "/home/r12944053/CLIP_train/aoi_clip/checkpoint-43500",
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"architectures": [
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"ChineseCLIPImageDualModel"
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],
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eval_results.json
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{
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"eval_loss": 1.266502857208252,
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"eval_runtime": 90.2216,
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"eval_samples_per_second": 192.448,
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"eval_steps_per_second": 48.115
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}
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training_args.bin
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size 5112
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version https://git-lfs.github.com/spec/v1
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size 5112
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