hyeongjin99
commited on
End of training
Browse files- README.md +2 -0
- all_results.json +8 -8
- eval_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +6 -6
README.md
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# CLIP_ViT_L_14_PCSP
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This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset.
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## Model description
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# CLIP_ViT_L_14_PCSP
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This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0224
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## Model description
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all_results.json
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{
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"epoch": 100.0,
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"eval_loss": 0.
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"eval_runtime": 0.
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"eval_samples_per_second":
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"eval_steps_per_second":
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"total_flos": 4353076050246000.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second": 44.
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"train_steps_per_second": 1.
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}
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{
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"epoch": 100.0,
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"eval_loss": 0.02241262048482895,
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"eval_runtime": 0.723,
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"eval_samples_per_second": 84.367,
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"eval_steps_per_second": 5.532,
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"total_flos": 4353076050246000.0,
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"train_loss": 0.5082710027694702,
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"train_runtime": 545.8865,
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"train_samples_per_second": 44.332,
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"train_steps_per_second": 1.466
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_loss": 0.
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"eval_runtime": 0.
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 100.0,
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"eval_loss": 0.02241262048482895,
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"eval_runtime": 0.723,
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"eval_samples_per_second": 84.367,
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"eval_steps_per_second": 5.532
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}
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train_results.json
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{
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"epoch": 100.0,
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"total_flos": 4353076050246000.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second": 44.
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"train_steps_per_second": 1.
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}
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{
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"epoch": 100.0,
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"total_flos": 4353076050246000.0,
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"train_loss": 0.5082710027694702,
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"train_runtime": 545.8865,
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"train_samples_per_second": 44.332,
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"train_steps_per_second": 1.466
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}
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trainer_state.json
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"log_history": [
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{
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"epoch": 62.5,
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"grad_norm":
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"learning_rate": 1.8750000000000002e-05,
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"loss": 0.
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"step": 500
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{
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"epoch": 100.0,
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"step": 800,
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"total_flos": 4353076050246000.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second": 44.
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"train_steps_per_second": 1.
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"logging_steps": 500,
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"log_history": [
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{
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"epoch": 62.5,
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"grad_norm": 18.85132598876953,
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"learning_rate": 1.8750000000000002e-05,
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"loss": 0.7307,
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{
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"epoch": 100.0,
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"step": 800,
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"total_flos": 4353076050246000.0,
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"train_loss": 0.5082710027694702,
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"train_runtime": 545.8865,
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"train_samples_per_second": 44.332,
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"train_steps_per_second": 1.466
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}
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],
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"logging_steps": 500,
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