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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: 2.4045
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- - Validation Loss: 2.2020
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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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- | 2.4107 | 2.2081 | 0 |
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- | 2.4124 | 2.2113 | 1 |
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- | 2.4071 | 2.2141 | 2 |
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- | 2.4089 | 2.2234 | 3 |
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- | 2.4093 | 2.2078 | 4 |
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- | 2.4140 | 2.2122 | 5 |
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- | 2.4086 | 2.2233 | 6 |
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- | 2.4138 | 2.2099 | 7 |
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- | nan | 2.2192 | 8 |
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- | 2.4045 | 2.2020 | 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: 2.4060
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+ - Validation Loss: 2.2127
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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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+ | 2.4078 | 2.2155 | 0 |
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+ | 2.4083 | 2.2045 | 1 |
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+ | 2.4111 | 2.2149 | 2 |
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+ | 2.4083 | 2.2166 | 3 |
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+ | 2.4098 | 2.2220 | 4 |
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+ | 2.4100 | 2.2228 | 5 |
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+ | 2.4045 | 2.2266 | 6 |
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+ | 2.4120 | 2.2222 | 7 |
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+ | 2.4074 | 2.2033 | 8 |
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+ | 2.4060 | 2.2127 | 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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