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bert-base-finetuned-esg-snpcsr-clean

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Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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rakeshw commited on
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End of training

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  1. README.md +12 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,8 +13,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 2.4124
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- - Validation Loss: 2.2326
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  - Epoch: 9
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  ## Model description
@@ -41,16 +41,16 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 2.4140 | 2.2256 | 0 |
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- | 2.4070 | 2.2145 | 1 |
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- | 2.4141 | 2.2140 | 2 |
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- | 2.4126 | 2.2198 | 3 |
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- | 2.4097 | 2.2184 | 4 |
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- | 2.4078 | 2.2186 | 5 |
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- | 2.4105 | 2.2041 | 6 |
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- | 2.4157 | 2.2167 | 7 |
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- | 2.4105 | 2.2217 | 8 |
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- | 2.4124 | 2.2326 | 9 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.4074
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+ - Validation Loss: 2.2353
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  - Epoch: 9
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  ## Model description
 
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 2.4095 | 2.2167 | 0 |
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+ | 2.4085 | 2.2081 | 1 |
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+ | 2.4117 | 2.2194 | 2 |
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+ | 2.4127 | 2.2173 | 3 |
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+ | 2.4063 | 2.2011 | 4 |
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+ | 2.4114 | 2.2102 | 5 |
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+ | 2.4177 | 2.2123 | 6 |
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+ | 2.4102 | 2.2174 | 7 |
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+ | 2.4096 | 2.2211 | 8 |
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+ | 2.4074 | 2.2353 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 533687680
 
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