Model save
Browse files- README.md +69 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/electra-small-discriminator
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: electra-small-touche-enhanced-binary
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# electra-small-touche-enhanced-binary
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4399
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- Accuracy: 0.84
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- Macro F1: 0.8399
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- Fallacy F1: 0.8431
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.1
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Fallacy F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:----------:|
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| 0.6932 | 1.0 | 47 | 0.6806 | 0.65 | 0.6154 | 0.7308 |
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| 0.6157 | 2.0 | 94 | 0.5881 | 0.77 | 0.7696 | 0.7604 |
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| 0.4868 | 3.0 | 141 | 0.4984 | 0.82 | 0.8200 | 0.8182 |
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| 0.4092 | 4.0 | 188 | 0.4598 | 0.81 | 0.8093 | 0.8208 |
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| 0.3715 | 5.0 | 235 | 0.4399 | 0.84 | 0.8399 | 0.8431 |
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### Framework versions
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- Transformers 5.9.0
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- Pytorch 2.11.0+cu128
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- Datasets 4.8.5
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- Tokenizers 0.22.2
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"is_local": false,
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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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