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End of training

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  1. README.md +13 -4
  2. model.safetensors +1 -1
README.md CHANGED
@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6877
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- - Exact Match: 0.0
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  ## Model description
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@@ -39,13 +39,22 @@ 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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
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- | 5.0517 | 1.0 | 4 | 4.6877 | 0.0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6800
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+ - Exact Match: 0.165
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|
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+ | 2.1419 | 1.0 | 313 | 1.3197 | 0.01 |
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+ | 1.1804 | 2.0 | 626 | 1.0833 | 0.023 |
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+ | 0.8888 | 3.0 | 939 | 0.9529 | 0.062 |
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+ | 0.7167 | 4.0 | 1252 | 0.9488 | 0.052 |
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+ | 0.5985 | 5.0 | 1565 | 0.8626 | 0.09 |
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+ | 0.514 | 6.0 | 1878 | 0.7982 | 0.115 |
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+ | 0.439 | 7.0 | 2191 | 0.7420 | 0.144 |
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+ | 0.3851 | 8.0 | 2504 | 0.6876 | 0.15 |
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+ | 0.3434 | 9.0 | 2817 | 0.6794 | 0.178 |
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+ | 0.3174 | 10.0 | 3130 | 0.6800 | 0.165 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 2699200
 
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