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update model card README.md

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@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.7693968253968255
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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
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8833
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- - F1: 0.7694
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.00010427249519590366
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- - train_batch_size: 64
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- - eval_batch_size: 64
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- - seed: 0
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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: 4
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5448 | 1.0 | 141 | 0.4788 | 0.7681 |
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- | 0.1701 | 2.0 | 282 | 0.5266 | 0.7672 |
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- | 0.1318 | 3.0 | 423 | 0.7216 | 0.7453 |
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- | 0.0084 | 4.0 | 564 | 0.8833 | 0.7694 |
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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: 0.7729508817074093
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8632
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+ - F1: 0.7730
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5.436235805743952e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 31415
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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: 4
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.363 | 1.0 | 282 | 0.4997 | 0.7401 |
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+ | 0.2145 | 2.0 | 564 | 0.5071 | 0.7773 |
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+ | 0.1327 | 3.0 | 846 | 0.7109 | 0.7645 |
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+ | 0.0157 | 4.0 | 1128 | 0.8632 | 0.7730 |
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  ### Framework versions