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RyuExcalibur
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bart-large-mnli-aitools

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update model card README.md

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  1. README.md +17 -22
README.md CHANGED
@@ -7,9 +7,6 @@ metrics:
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  model-index:
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  - name: bart-large-mnli-aitools
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  results: []
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- language:
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- - en
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- pipeline_tag: zero-shot-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
@@ -19,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3938
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- - Accuracy: 0.9444
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  ## Model description
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@@ -51,22 +48,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.31 | 50 | 0.5356 | 0.8889 |
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- | No log | 0.61 | 100 | 0.8207 | 0.8333 |
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- | No log | 0.92 | 150 | 0.2514 | 0.9444 |
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- | No log | 1.23 | 200 | 0.3803 | 0.9167 |
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- | No log | 1.53 | 250 | 0.5060 | 0.9167 |
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- | No log | 1.84 | 300 | 0.4151 | 0.9167 |
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- | No log | 2.15 | 350 | 0.5287 | 0.8889 |
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- | No log | 2.45 | 400 | 0.3168 | 0.9444 |
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- | No log | 2.76 | 450 | 0.4639 | 0.9167 |
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- | 0.3194 | 3.07 | 500 | 0.3938 | 0.9444 |
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- | 0.3194 | 3.37 | 550 | 0.0007 | 1.0 |
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- | 0.3194 | 3.68 | 600 | 0.2178 | 0.9444 |
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- | 0.3194 | 3.99 | 650 | 0.3312 | 0.9444 |
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- | 0.3194 | 4.29 | 700 | 0.0265 | 0.9722 |
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- | 0.3194 | 4.6 | 750 | 0.0095 | 1.0 |
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- | 0.3194 | 4.91 | 800 | 0.0078 | 1.0 |
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  ### Framework versions
@@ -74,4 +69,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.26.1
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.9.0
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- - Tokenizers 0.13.2
 
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  model-index:
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  - name: bart-large-mnli-aitools
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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 [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1230
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+ - Accuracy: 0.9722
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.31 | 50 | 0.5212 | 0.8611 |
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+ | No log | 0.61 | 100 | 0.5397 | 0.8333 |
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+ | No log | 0.92 | 150 | 0.0322 | 0.9722 |
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+ | No log | 1.23 | 200 | 0.6025 | 0.8611 |
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+ | No log | 1.53 | 250 | 0.0708 | 0.9722 |
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+ | No log | 1.84 | 300 | 0.3260 | 0.9444 |
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+ | No log | 2.15 | 350 | 0.0014 | 1.0 |
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+ | No log | 2.45 | 400 | 0.0017 | 1.0 |
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+ | No log | 2.76 | 450 | 0.0375 | 0.9722 |
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+ | 0.3402 | 3.07 | 500 | 0.1230 | 0.9722 |
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+ | 0.3402 | 3.37 | 550 | 0.0077 | 1.0 |
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+ | 0.3402 | 3.68 | 600 | 0.1569 | 0.9722 |
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+ | 0.3402 | 3.99 | 650 | 0.0721 | 0.9722 |
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+ | 0.3402 | 4.29 | 700 | 0.1426 | 0.9722 |
 
 
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  ### Framework versions
 
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  - Transformers 4.26.1
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  - Pytorch 1.13.1+cu116
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  - Datasets 2.9.0
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+ - Tokenizers 0.13.2