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SEMEVAL23_TASK3_SUBTASK1_MULTI

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End of training

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  1. README.md +20 -15
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7001
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- - F1: 0.6657
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  ## Model description
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@@ -43,27 +43,32 @@ 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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.834 | 1.0 | 160 | 1.0521 | 0.3659 |
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- | 0.1947 | 2.0 | 320 | 0.8869 | 0.5581 |
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- | 1.2275 | 3.0 | 480 | 0.8091 | 0.6190 |
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- | 0.0098 | 4.0 | 640 | 0.6704 | 0.6538 |
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- | 2.6387 | 5.0 | 800 | 0.7001 | 0.6657 |
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- | 0.0077 | 6.0 | 960 | 1.2344 | 0.6278 |
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- | 0.0104 | 7.0 | 1120 | 1.3100 | 0.6379 |
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- | 0.0007 | 8.0 | 1280 | 1.6961 | 0.5974 |
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- | 0.0019 | 9.0 | 1440 | 1.4126 | 0.6530 |
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- | 0.0191 | 10.0 | 1600 | 1.4652 | 0.6444 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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- - Datasets 2.14.0
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6313
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+ - F1: 0.6299
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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: 15
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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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+ | 0.9669 | 1.0 | 160 | 0.9574 | 0.4075 |
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+ | 0.4214 | 2.0 | 320 | 0.6809 | 0.5769 |
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+ | 0.0096 | 3.0 | 480 | 1.3114 | 0.4152 |
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+ | 0.2681 | 4.0 | 640 | 0.7792 | 0.6122 |
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+ | 0.0007 | 5.0 | 800 | 1.3213 | 0.5765 |
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+ | 0.0005 | 6.0 | 960 | 1.7983 | 0.5749 |
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+ | 0.0011 | 7.0 | 1120 | 2.2000 | 0.5298 |
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+ | 0.0008 | 8.0 | 1280 | 1.3757 | 0.5812 |
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+ | 0.0007 | 9.0 | 1440 | 1.5493 | 0.5990 |
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+ | 0.001 | 10.0 | 1600 | 1.4796 | 0.6233 |
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+ | 0.0008 | 11.0 | 1760 | 1.4954 | 0.6251 |
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+ | 0.0002 | 12.0 | 1920 | 1.6313 | 0.6299 |
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+ | 0.0004 | 13.0 | 2080 | 1.5037 | 0.6296 |
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+ | 0.0008 | 14.0 | 2240 | 1.5526 | 0.6277 |
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+ | 0.0001 | 15.0 | 2400 | 1.5745 | 0.6254 |
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  ### Framework versions
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+ - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3
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