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End of training

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  1. README.md +0 -17
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
README.md CHANGED
@@ -63,23 +63,6 @@ The following hyperparameters were used during training:
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  | 0.2689 | 1.69 | 400 | 0.4498 | 0.8137 | 0.8147 | 0.8145 | 0.8147 | 0.8133 | 0.8145 | 0.8147 | 0.8147 |
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  | 0.194 | 2.54 | 600 | 0.5334 | 0.8244 | 0.8253 | 0.8252 | 0.8253 | 0.8239 | 0.8252 | 0.8253 | 0.8253 |
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- ### eval result
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- |Datasets|asadfgglie/nli-zh-tw-all/test|asadfgglie/BanBan_2024-10-17-facial_expressions-nli/test|eval_dataset|test_dataset|
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- | :---: | :---: | :---: | :---: | :---: |
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- |eval_loss|0.535|0.278|0.552|0.499|
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- |eval_f1_macro|0.817|0.916|0.823|0.828|
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- |eval_f1_micro|0.818|0.916|0.824|0.829|
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- |eval_accuracy_balanced|0.817|0.917|0.823|0.828|
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- |eval_accuracy|0.818|0.916|0.824|0.829|
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- |eval_precision_macro|0.817|0.917|0.823|0.828|
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- |eval_recall_macro|0.817|0.917|0.823|0.828|
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- |eval_precision_micro|0.818|0.916|0.824|0.829|
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- |eval_recall_micro|0.818|0.916|0.824|0.829|
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- |eval_runtime|50.667|0.613|11.117|44.117|
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- |eval_samples_per_second|167.761|1542.179|169.917|171.295|
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- |eval_steps_per_second|2.625|24.453|2.699|2.697|
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- |Size of dataset|8500|946|1889|7557|
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-
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  ### Framework versions
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  | 0.2689 | 1.69 | 400 | 0.4498 | 0.8137 | 0.8147 | 0.8145 | 0.8147 | 0.8133 | 0.8145 | 0.8147 | 0.8147 |
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  | 0.194 | 2.54 | 600 | 0.5334 | 0.8244 | 0.8253 | 0.8252 | 0.8253 | 0.8239 | 0.8252 | 0.8253 | 0.8253 |
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  ### Framework versions
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config.json CHANGED
@@ -30,7 +30,7 @@
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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- "torch_dtype": "float32",
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  "transformers_version": "4.33.3",
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  "type_vocab_size": 1,
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  "use_cache": true,
 
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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+ "torch_dtype": "float16",
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  "transformers_version": "4.33.3",
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  "type_vocab_size": 1,
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  "use_cache": true,
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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