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Model save

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  1. README.md +5 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0218
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  ## Model description
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@@ -40,20 +40,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.2818 | 1.0 | 7836 | 0.2036 |
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- | 0.1229 | 2.0 | 15672 | 0.0739 |
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- | 0.0691 | 3.0 | 23508 | 0.0544 |
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- | 0.0478 | 4.0 | 31344 | 0.0321 |
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- | 0.0299 | 5.0 | 39180 | 0.0262 |
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- | 0.0178 | 6.0 | 47016 | 0.0261 |
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- | 0.0104 | 7.0 | 54852 | 0.0241 |
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- | 0.0058 | 8.0 | 62688 | 0.0218 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0500
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.3066 | 1.0 | 7944 | 0.1975 |
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+ | 0.1312 | 2.0 | 15888 | 0.0871 |
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+ | 0.0722 | 3.0 | 23832 | 0.0500 |
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 265470032
 
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