End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: roberta-base
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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: micro_base_help_class_no_pre_seed_4
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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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# micro_base_help_class_no_pre_seed_4
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8233
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- Accuracy: 0.852
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- F1 Macro: 0.6640
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 4
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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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 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 0.3665 | 1.0 | 313 | 0.3598 | 0.8536 | 0.4619 |
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| 0.3132 | 2.0 | 626 | 0.3678 | 0.8634 | 0.5801 |
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| 0.2547 | 3.0 | 939 | 0.3785 | 0.8456 | 0.6196 |
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| 0.1904 | 4.0 | 1252 | 0.5449 | 0.8444 | 0.6189 |
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| 0.1679 | 5.0 | 1565 | 0.7422 | 0.8528 | 0.5954 |
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| 0.1157 | 6.0 | 1878 | 0.9005 | 0.8404 | 0.6468 |
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| 0.094 | 7.0 | 2191 | 0.9842 | 0.8466 | 0.6246 |
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| 0.0494 | 8.0 | 2504 | 1.0898 | 0.8476 | 0.6083 |
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| 0.015 | 9.0 | 2817 | 1.2454 | 0.844 | 0.6390 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 498612824
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version https://git-lfs.github.com/spec/v1
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size 498612824
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