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my_awesome_model

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  1. README.md +19 -18
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.774
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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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  # my_awesome_model
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- This model is a fine-tuned version of [](https://huggingface.co/) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6804
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- - Accuracy: 0.774
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 64
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.6145 | 1.0 | 500 | 1.5603 | 0.3475 |
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- | 1.4622 | 2.0 | 1000 | 1.3149 | 0.4 |
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- | 1.2777 | 3.0 | 1500 | 1.2142 | 0.4365 |
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- | 1.1218 | 4.0 | 2000 | 1.0095 | 0.5915 |
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- | 0.8886 | 5.0 | 2500 | 0.8772 | 0.695 |
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- | 0.7649 | 6.0 | 3000 | 0.7803 | 0.7355 |
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- | 0.6818 | 7.0 | 3500 | 0.7220 | 0.7615 |
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- | 0.6268 | 8.0 | 4000 | 0.6870 | 0.773 |
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- | 0.5922 | 9.0 | 4500 | 0.6859 | 0.771 |
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- | 0.5658 | 10.0 | 5000 | 0.6804 | 0.774 |
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  ### Framework versions
 
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  ---
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+ base_model: keefezowie/my_awesome_model
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8295
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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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  # my_awesome_model
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+ This model is a fine-tuned version of [keefezowie/my_awesome_model](https://huggingface.co/keefezowie/my_awesome_model) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7587
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+ - Accuracy: 0.8295
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 32
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.3711 | 1.0 | 1000 | 1.1335 | 0.5795 |
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+ | 0.7516 | 2.0 | 2000 | 0.6239 | 0.8065 |
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+ | 0.5061 | 3.0 | 3000 | 0.5523 | 0.823 |
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+ | 0.4381 | 4.0 | 4000 | 0.5857 | 0.8245 |
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+ | 0.3637 | 5.0 | 5000 | 0.5661 | 0.839 |
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+ | 0.3287 | 6.0 | 6000 | 0.5662 | 0.839 |
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+ | 0.296 | 7.0 | 7000 | 0.6437 | 0.835 |
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+ | 0.26 | 8.0 | 8000 | 0.6875 | 0.831 |
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+ | 0.2344 | 9.0 | 9000 | 0.7239 | 0.8255 |
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+ | 0.1989 | 10.0 | 10000 | 0.7587 | 0.8295 |
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  ### Framework versions
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