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_1
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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_1
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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: 0.8288
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- Accuracy: 0.8506
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- F1 Macro: 0.6496
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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: 1
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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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| 0.3574 | 1.0 | 313 | 0.3915 | 0.8544 | 0.5436 |
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| 0.3281 | 2.0 | 626 | 0.3468 | 0.8542 | 0.6399 |
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| 0.2822 | 3.0 | 939 | 0.4199 | 0.8618 | 0.5364 |
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| 0.2347 | 4.0 | 1252 | 0.4397 | 0.8552 | 0.6567 |
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| 0.1707 | 5.0 | 1565 | 0.5268 | 0.8584 | 0.6031 |
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| 0.0992 | 6.0 | 1878 | 0.8439 | 0.85 | 0.6609 |
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| 0.0891 | 7.0 | 2191 | 0.8919 | 0.8506 | 0.6486 |
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| 0.0506 | 8.0 | 2504 | 0.9836 | 0.857 | 0.6425 |
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| 0.0387 | 9.0 | 2817 | 1.0062 | 0.8536 | 0.6354 |
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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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-
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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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