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End of training

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  1. README.md +11 -16
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [daveni/twitter-xlm-roberta-emotion-es](https://huggingface.co/daveni/twitter-xlm-roberta-emotion-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1501
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- - Accuracy: 0.8346
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- - F1: 0.7717
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- - Precision: 0.8987
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- - Recall: 0.6762
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  ## Model description
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@@ -48,22 +48,17 @@ 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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.6694 | 1.0 | 32 | 0.6008 | 0.6969 | 0.4901 | 0.8043 | 0.3524 |
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- | 0.5305 | 2.0 | 64 | 0.4786 | 0.7795 | 0.6854 | 0.8356 | 0.5810 |
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- | 0.3457 | 3.0 | 96 | 0.4456 | 0.8031 | 0.7788 | 0.7273 | 0.8381 |
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- | 0.2513 | 4.0 | 128 | 0.5167 | 0.8307 | 0.7725 | 0.8690 | 0.6952 |
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- | 0.1725 | 5.0 | 160 | 0.6917 | 0.8189 | 0.7604 | 0.8391 | 0.6952 |
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- | 0.0974 | 6.0 | 192 | 0.7955 | 0.8228 | 0.7619 | 0.8571 | 0.6857 |
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- | 0.042 | 7.0 | 224 | 0.8829 | 0.8346 | 0.7766 | 0.8795 | 0.6952 |
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- | 0.014 | 8.0 | 256 | 0.9991 | 0.8189 | 0.7653 | 0.8242 | 0.7143 |
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- | 0.0103 | 9.0 | 288 | 1.1313 | 0.8346 | 0.7717 | 0.8987 | 0.6762 |
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- | 0.0194 | 10.0 | 320 | 1.1501 | 0.8346 | 0.7717 | 0.8987 | 0.6762 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [daveni/twitter-xlm-roberta-emotion-es](https://huggingface.co/daveni/twitter-xlm-roberta-emotion-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4881
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+ - Accuracy: 0.8504
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+ - F1: 0.8119
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+ - Precision: 0.8454
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+ - Recall: 0.7810
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.667 | 1.0 | 32 | 0.5528 | 0.7283 | 0.6057 | 0.7571 | 0.5048 |
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+ | 0.5241 | 2.0 | 64 | 0.4843 | 0.7874 | 0.7065 | 0.8228 | 0.6190 |
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+ | 0.3046 | 3.0 | 96 | 0.4785 | 0.8031 | 0.7423 | 0.8090 | 0.6857 |
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+ | 0.1631 | 4.0 | 128 | 0.4776 | 0.8228 | 0.7644 | 0.8488 | 0.6952 |
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+ | 0.097 | 5.0 | 160 | 0.4881 | 0.8504 | 0.8119 | 0.8454 | 0.7810 |
 
 
 
 
 
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  ### Framework versions
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