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archive_emotion_predictor_for_emotion_chat_bot

Text Classification
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -6,20 +6,20 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: emotion_predictor_for_emotion_chat_bot_test
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # emotion_predictor_for_emotion_chat_bot_test
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- This model is a fine-tuned version of [michellejieli/emotion_text_classifier](https://huggingface.co/michellejieli/emotion_text_classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6003
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- - Accuracy: 0.8162
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- - F1-score: 0.8210
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  - Num Input Tokens Seen: 114874880
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Input Tokens Seen |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------------:|
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- | 0.8623 | 1.0 | 5610 | 0.5177 | 0.8396 | 0.8568 | 22974976 |
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- | 0.8458 | 2.0 | 11220 | 0.5436 | 0.8447 | 0.8637 | 45949952 |
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- | 0.8434 | 3.0 | 16830 | 0.5521 | 0.8515 | 0.8754 | 68924928 |
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- | 0.828 | 4.0 | 22440 | 0.5140 | 0.8493 | 0.8707 | 91899904 |
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- | 0.8535 | 5.0 | 28050 | 0.6003 | 0.8162 | 0.8210 | 114874880 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: emotion_predictor_for_emotion_chat_bot
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # emotion_predictor_for_emotion_chat_bot
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+ This model is a fine-tuned version of [michellejieli/emotion_text_classifier](https://huggingface.co/michellejieli/emotion_text_classifier) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5314
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+ - Accuracy: 0.8377
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+ - F1-score: 0.8526
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  - Num Input Tokens Seen: 114874880
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Input Tokens Seen |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------------:|
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+ | No log | 1.0 | 5610 | 0.5620 | 0.8215 | 0.8298 | 22974976 |
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+ | 0.8517 | 2.0 | 11220 | 0.5038 | 0.8496 | 0.8722 | 45949952 |
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+ | 0.8517 | 3.0 | 16830 | 0.5476 | 0.8308 | 0.8432 | 68924928 |
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+ | 0.837 | 4.0 | 22440 | 0.5194 | 0.8549 | 0.8797 | 91899904 |
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+ | 0.837 | 5.0 | 28050 | 0.5314 | 0.8377 | 0.8526 | 114874880 |
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  ### Framework versions
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