update model card README.md
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README.md
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metrics:
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- name: F1
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type: f1
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value: 0.
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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: 1.
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- F1: 0.
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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: 2.
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.
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| 0.
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| 0.
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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: 0.6785912258473235
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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: 1.5669
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- F1: 0.6786
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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: 2.6774391860025942e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6669 | 1.0 | 716 | 0.6291 | 0.6198 |
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| 0.5655 | 2.0 | 1432 | 0.7332 | 0.6771 |
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| 0.3764 | 3.0 | 2148 | 1.4193 | 0.6554 |
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| 0.229 | 4.0 | 2864 | 1.5669 | 0.6786 |
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### Framework versions
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