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update model card README.md

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  1. README.md +7 -6
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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.019548365352207615
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the go_emotions dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7211
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- - F1: 0.0195
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  ## Model description
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@@ -57,14 +57,15 @@ 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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 32 | 2.7963 | 0.0195 |
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- | No log | 2.0 | 64 | 2.7211 | 0.0195 |
 
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.38517334250011687
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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 [roberta-base](https://huggingface.co/roberta-base) on the go_emotions dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6119
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+ - F1: 0.3852
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 313 | 1.8826 | 0.1762 |
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+ | 2.1614 | 2.0 | 626 | 1.6738 | 0.3442 |
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+ | 2.1614 | 3.0 | 939 | 1.6119 | 0.3852 |
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  ### Framework versions