End of training
Browse files- README.md +77 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: mental/mental-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- accuracy
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model-index:
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- name: mental-roberta-base-tqacd
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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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# mental-roberta-base-tqacd
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This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/mental-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9082
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- F1 Macro: 0.2469
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- Precision: 0.2488
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- Recall: 0.2659
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- Accuracy: 0.3416
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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: 32
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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_ratio: 0.1
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- num_epochs: 20
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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 | F1 Macro | Precision | Recall | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
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| No log | 1.0 | 114 | 2.3976 | 0.0133 | 0.0072 | 0.0909 | 0.0792 |
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| No log | 2.0 | 228 | 2.3341 | 0.1031 | 0.0857 | 0.1575 | 0.3465 |
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| No log | 3.0 | 342 | 2.1496 | 0.2299 | 0.2248 | 0.2910 | 0.3020 |
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| No log | 4.0 | 456 | 2.1302 | 0.2362 | 0.3313 | 0.2655 | 0.3515 |
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| 2.1978 | 5.0 | 570 | 2.1236 | 0.2638 | 0.2622 | 0.3114 | 0.3614 |
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| 2.1978 | 6.0 | 684 | 2.1646 | 0.2500 | 0.2544 | 0.2679 | 0.3366 |
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| 2.1978 | 7.0 | 798 | 2.3374 | 0.2849 | 0.2936 | 0.3095 | 0.3564 |
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| 2.1978 | 8.0 | 912 | 2.4982 | 0.2859 | 0.2889 | 0.3175 | 0.3614 |
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| 0.8281 | 9.0 | 1026 | 2.7695 | 0.2390 | 0.2258 | 0.2711 | 0.3267 |
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| 0.8281 | 10.0 | 1140 | 2.9082 | 0.2469 | 0.2488 | 0.2659 | 0.3416 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.4.1
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- Tokenizers 0.22.1
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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 498640508
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version https://git-lfs.github.com/spec/v1
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oid sha256:f75d9e39dda06855ba4e123f7c4f30b30f37b0292b39a84087e63254619d7526
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size 498640508
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