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update model card README.md

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  1. README.md +19 -22
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@@ -5,9 +5,6 @@ tags:
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  model-index:
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  - name: distilroberta-tcfd-disclosure
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  results: []
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- datasets:
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- - rexarski/TCFD_disclosure
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- pipeline_tag: text-classification
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7356
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  ## Model description
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@@ -52,27 +49,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 5 | 2.3987 |
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- | 2.4026 | 2.0 | 10 | 2.3915 |
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- | 2.4026 | 3.0 | 15 | 2.3802 |
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- | 2.379 | 4.0 | 20 | 2.3660 |
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- | 2.379 | 5.0 | 25 | 2.3306 |
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- | 2.3117 | 6.0 | 30 | 2.2219 |
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- | 2.3117 | 7.0 | 35 | 2.0485 |
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- | 1.9883 | 8.0 | 40 | 1.9095 |
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- | 1.9883 | 9.0 | 45 | 1.8112 |
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- | 1.5971 | 10.0 | 50 | 1.7251 |
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- | 1.5971 | 11.0 | 55 | 1.6428 |
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- | 1.1741 | 12.0 | 60 | 1.6219 |
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- | 1.1741 | 13.0 | 65 | 1.6011 |
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- | 0.8494 | 14.0 | 70 | 1.6859 |
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- | 0.8494 | 15.0 | 75 | 1.6946 |
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- | 0.6111 | 16.0 | 80 | 1.7356 |
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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- - Datasets 2.11.0
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: distilroberta-tcfd-disclosure
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  results: []
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8681
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 5 | 2.3837 |
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+ | 2.3918 | 2.0 | 10 | 2.3787 |
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+ | 2.3918 | 3.0 | 15 | 2.3704 |
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+ | 2.3754 | 4.0 | 20 | 2.3623 |
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+ | 2.3754 | 5.0 | 25 | 2.3396 |
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+ | 2.2976 | 6.0 | 30 | 2.2599 |
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+ | 2.2976 | 7.0 | 35 | 2.1095 |
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+ | 2.0439 | 8.0 | 40 | 2.0184 |
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+ | 2.0439 | 9.0 | 45 | 1.9059 |
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+ | 1.6799 | 10.0 | 50 | 1.8469 |
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+ | 1.6799 | 11.0 | 55 | 1.8089 |
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+ | 1.2948 | 12.0 | 60 | 1.7263 |
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+ | 1.2948 | 13.0 | 65 | 1.7250 |
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+ | 0.9621 | 14.0 | 70 | 1.8106 |
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+ | 0.9621 | 15.0 | 75 | 1.8073 |
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+ | 0.7356 | 16.0 | 80 | 1.8681 |
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3