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saved_model_trial_2

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xlm-roberta
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  1. README.md +8 -8
README.md CHANGED
@@ -18,9 +18,9 @@ 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: 5.0418
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- - Exact Match: 21.3483
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- - F1: 5.8917
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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: 3.109345114384633e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
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- | No log | 1.0 | 22 | 5.3859 | 12.3596 | 7.2183 |
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- | No log | 2.0 | 44 | 5.1121 | 10.1124 | 6.2278 |
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- | No log | 3.0 | 66 | 5.0418 | 21.3483 | 5.8917 |
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  ### Framework versions
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  - Transformers 4.51.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.5.0
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- - Tokenizers 0.21.1
 
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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: 4.9120
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+ - Exact Match: 24.7191
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+ - F1: 5.3036
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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: 1.0014380285497903e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
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+ | No log | 1.0 | 22 | 5.4422 | 2.2472 | 5.6650 |
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+ | No log | 2.0 | 44 | 5.0462 | 12.3596 | 4.9037 |
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+ | No log | 3.0 | 66 | 4.9120 | 24.7191 | 5.3036 |
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  ### Framework versions
 
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  - Transformers 4.51.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.5.0
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+ - Tokenizers 0.21.2