End of training
Browse files- README.md +2 -0
- all_results.json +11 -0
- eval_results.json +7 -0
- merges.txt +0 -0
- predict_results.json +7 -0
- preprocessor_config.json +27 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- train_results.json +7 -0
- trainer_state.json +30 -0
- vocab.json +0 -0
README.md
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@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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# clip-by-zabir
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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## Model description
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# clip-by-zabir
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This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.1428
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## Model description
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all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 4.142768859863281,
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"eval_runtime": 15.8841,
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"eval_samples_per_second": 16.62,
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"eval_steps_per_second": 0.315,
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"train_loss": 4.278300391303168,
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"train_runtime": 734.7358,
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"train_samples_per_second": 6.076,
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"train_steps_per_second": 0.098
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_loss": 4.142768859863281,
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"eval_runtime": 16.4181,
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"eval_samples_per_second": 16.08,
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"eval_steps_per_second": 0.305
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}
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merges.txt
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predict_results.json
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{
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"epoch": 3.0,
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"eval_loss": 4.142768859863281,
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"eval_runtime": 15.8841,
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"eval_samples_per_second": 16.62,
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"eval_steps_per_second": 0.315
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}
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"50264": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 4.278300391303168,
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"train_runtime": 734.7358,
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"train_samples_per_second": 6.076,
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"train_steps_per_second": 0.098
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 72,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 3.0,
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"step": 72,
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"total_flos": 259657478920224.0,
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"train_loss": 4.278300391303168,
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"train_runtime": 734.7358,
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"train_samples_per_second": 6.076,
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"train_steps_per_second": 0.098
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}
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],
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"logging_steps": 500,
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"max_steps": 72,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"save_steps": 500,
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"total_flos": 259657478920224.0,
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"train_batch_size": 64,
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"trial_name": null,
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"trial_params": null
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}
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vocab.json
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