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
@@ -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: 4.4601
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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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It achieves the following results on the evaluation set:
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- Loss: 4.4601
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+
- Accuracy: 0.0939
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## Model description
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all_results.json
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{
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"epoch": 199.4579945799458,
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"eval_accuracy": 0.09392712550607288,
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"eval_loss": 4.4601263999938965,
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"eval_runtime": 4.4396,
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"eval_samples_per_second": 278.177,
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"eval_steps_per_second": 13.965,
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"total_flos": 7.267108691140301e+17,
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"train_loss": 0.527852494612984,
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"train_runtime": 15509.2666,
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"train_samples_per_second": 118.806,
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"train_steps_per_second": 0.593
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}
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eval_results.json
ADDED
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{
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"epoch": 199.4579945799458,
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"eval_accuracy": 0.09392712550607288,
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"eval_loss": 4.4601263999938965,
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"eval_runtime": 4.4396,
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"eval_samples_per_second": 278.177,
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"eval_steps_per_second": 13.965
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}
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preprocessor_config.json
ADDED
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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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0.4578275,
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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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],
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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
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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
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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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train_results.json
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trainer_state.json
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"step": 8280
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 199.4579945799458,
|
157 |
+
"grad_norm": 0.6747769713401794,
|
158 |
+
"learning_rate": 4.3478260869565225e-09,
|
159 |
+
"loss": 0.4665,
|
160 |
+
"step": 9200
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 199.4579945799458,
|
164 |
+
"eval_accuracy": 0.09417004048582996,
|
165 |
+
"eval_loss": 4.4601263999938965,
|
166 |
+
"eval_runtime": 4.6453,
|
167 |
+
"eval_samples_per_second": 265.86,
|
168 |
+
"eval_steps_per_second": 13.347,
|
169 |
+
"step": 9200
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 199.4579945799458,
|
173 |
+
"step": 9200,
|
174 |
+
"total_flos": 7.267108691140301e+17,
|
175 |
+
"train_loss": 0.527852494612984,
|
176 |
+
"train_runtime": 15509.2666,
|
177 |
+
"train_samples_per_second": 118.806,
|
178 |
+
"train_steps_per_second": 0.593
|
179 |
+
}
|
180 |
+
],
|
181 |
+
"logging_steps": 920,
|
182 |
+
"max_steps": 9200,
|
183 |
+
"num_input_tokens_seen": 0,
|
184 |
+
"num_train_epochs": 200,
|
185 |
+
"save_steps": 500,
|
186 |
+
"stateful_callbacks": {
|
187 |
+
"TrainerControl": {
|
188 |
+
"args": {
|
189 |
+
"should_epoch_stop": false,
|
190 |
+
"should_evaluate": false,
|
191 |
+
"should_log": false,
|
192 |
+
"should_save": true,
|
193 |
+
"should_training_stop": true
|
194 |
+
},
|
195 |
+
"attributes": {}
|
196 |
+
}
|
197 |
+
},
|
198 |
+
"total_flos": 7.267108691140301e+17,
|
199 |
+
"train_batch_size": 25,
|
200 |
+
"trial_name": null,
|
201 |
+
"trial_params": null
|
202 |
+
}
|
vocab.txt
ADDED
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|