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MulticlassReaction

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +6 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.5677
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  ## Model description
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@@ -41,17 +41,16 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6940 | 1.0 | 345 | 0.6279 |
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- | 0.5095 | 2.0 | 690 | 0.5677 |
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- | 0.3402 | 3.0 | 1035 | 0.5989 |
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- | 0.2233 | 4.0 | 1380 | 0.6725 |
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- | 0.1703 | 5.0 | 1725 | 0.7040 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.5756
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6916 | 1.0 | 345 | 0.6023 |
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+ | 0.4854 | 2.0 | 690 | 0.5756 |
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+ | 0.3072 | 3.0 | 1035 | 0.6279 |
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+ | 0.1727 | 4.0 | 1380 | 0.8522 |
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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