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AndresR2909
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finetuning_bert_text_classification

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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AndresR2909 commited on
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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Sep26_22-29-02_1dce0b1b21b8/events.out.tfevents.1727389752.1dce0b1b21b8.1044.4 +2 -2
  4. runs/Sep26_22-29-02_1dce0b1b21b8/events.out.tfevents.1727392408.1dce0b1b21b8.1044.5 +3 -0
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2599
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- - Accuracy: 0.9024
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.3002 | 1.0 | 3125 | 0.2774 | 0.8904 |
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- | 0.2353 | 2.0 | 6250 | 0.2599 | 0.9024 |
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- | 0.1882 | 3.0 | 9375 | 0.2917 | 0.9066 |
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- | 0.1534 | 4.0 | 12500 | 0.3421 | 0.906 |
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- | 0.1185 | 5.0 | 15625 | 0.3943 | 0.9088 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2394
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+ - Accuracy: 0.9073
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.2612 | 1.0 | 6250 | 0.2394 | 0.9073 |
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+ | 0.1966 | 2.0 | 12500 | 0.2488 | 0.9184 |
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+ | 0.1737 | 3.0 | 18750 | 0.2759 | 0.9192 |
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+ | 0.1415 | 4.0 | 25000 | 0.3322 | 0.9165 |
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+ | 0.0857 | 5.0 | 31250 | 0.3835 | 0.9199 |
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  ### Framework versions
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