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: AIMH/mental-roberta-large
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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-large-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-large-tqacd
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This model is a fine-tuned version of [AIMH/mental-roberta-large](https://huggingface.co/AIMH/mental-roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.1025
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- F1 Macro: 0.2135
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- Precision: 0.2435
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- Recall: 0.2081
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- Accuracy: 0.3960
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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 | 2.3883 | 0.0709 | 0.0731 | 0.1136 | 0.1683 |
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| No log | 2.0 | 228 | 2.2740 | 0.1730 | 0.1903 | 0.2120 | 0.2921 |
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| No log | 3.0 | 342 | 2.1808 | 0.2186 | 0.2406 | 0.2767 | 0.2723 |
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| No log | 4.0 | 456 | 2.1832 | 0.2306 | 0.2621 | 0.2427 | 0.3069 |
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| 2.0598 | 5.0 | 570 | 2.4082 | 0.2319 | 0.2299 | 0.2796 | 0.3218 |
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| 2.0598 | 6.0 | 684 | 2.6410 | 0.2590 | 0.2524 | 0.2830 | 0.3812 |
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| 2.0598 | 7.0 | 798 | 3.2373 | 0.2529 | 0.2765 | 0.2467 | 0.3861 |
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| 2.0598 | 8.0 | 912 | 3.5088 | 0.2629 | 0.2753 | 0.2573 | 0.3911 |
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| 0.2954 | 9.0 | 1026 | 4.4566 | 0.2175 | 0.2695 | 0.2074 | 0.3812 |
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| 0.2954 | 10.0 | 1140 | 5.1025 | 0.2135 | 0.2435 | 0.2081 | 0.3960 |
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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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-
oid sha256:
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size 1421532316
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version https://git-lfs.github.com/spec/v1
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oid sha256:dae02969bdae67f5fad1abb70d3d556feca92e4e3844a1aafac8289b199af991
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size 1421532316
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