End of training
Browse files- README.md +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- preprocessor_config.json +28 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- train_results.json +8 -0
- trainer_state.json +202 -0
- vocab.txt +0 -0
README.md
CHANGED
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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7487
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-
- Accuracy: 0.
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## Model description
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This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
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| 19 |
It achieves the following results on the evaluation set:
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- Loss: 4.7487
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+
- Accuracy: 0.0334
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 59.922928709055874,
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+
"eval_accuracy": 0.03338163235961022,
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| 4 |
+
"eval_loss": 4.748708724975586,
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| 5 |
+
"eval_runtime": 31.7647,
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| 6 |
+
"eval_samples_per_second": 258.746,
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| 7 |
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"eval_steps_per_second": 6.485,
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| 8 |
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"total_flos": 1.4737892295759744e+18,
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| 9 |
+
"train_loss": 2.065115170003517,
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| 10 |
+
"train_runtime": 33403.3218,
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| 11 |
+
"train_samples_per_second": 111.824,
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| 12 |
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"train_steps_per_second": 0.559
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}
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eval_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 59.922928709055874,
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"eval_accuracy": 0.03338163235961022,
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| 4 |
+
"eval_loss": 4.748708724975586,
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"eval_runtime": 31.7647,
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"eval_samples_per_second": 258.746,
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"eval_steps_per_second": 6.485
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}
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preprocessor_config.json
ADDED
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@@ -0,0 +1,28 @@
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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": false,
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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": "ChineseCLIPImageProcessor",
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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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"height": 224,
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"width": 224
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}
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}
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special_tokens_map.json
ADDED
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@@ -0,0 +1,7 @@
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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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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"100": {
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"content": "[UNK]",
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"lstrip": false,
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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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"101": {
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"content": "[CLS]",
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"lstrip": false,
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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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"102": {
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"content": "[SEP]",
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"lstrip": false,
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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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"103": {
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"content": "[MASK]",
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"lstrip": false,
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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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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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| 49 |
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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| 51 |
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"pad_token": "[PAD]",
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| 52 |
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"sep_token": "[SEP]",
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"strip_accents": null,
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| 54 |
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"tokenize_chinese_chars": true,
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| 55 |
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 59.922928709055874,
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| 3 |
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"total_flos": 1.4737892295759744e+18,
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| 4 |
+
"train_loss": 2.065115170003517,
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| 5 |
+
"train_runtime": 33403.3218,
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| 6 |
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"train_samples_per_second": 111.824,
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| 7 |
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"train_steps_per_second": 0.559
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,202 @@
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{
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"best_metric": null,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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{
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"loss": 2.0135,
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},
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{
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"epoch": 29.961464354527937,
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"eval_accuracy": 0.03452974814454313,
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"eval_runtime": 31.6904,
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"step": 9330
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{
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"epoch": 35.95375722543353,
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vocab.txt
ADDED
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|