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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: Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: toxicity-scorer-qwen-it |
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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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# toxicity-scorer-qwen-it |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1670 |
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- F1: 0.9371 |
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- Accuracy: 0.9379 |
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- Precision: 0.9365 |
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- Recall: 0.9379 |
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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: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:| |
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| No log | 0 | 0 | 1.4998 | 0.6765 | 0.6206 | 0.7541 | 0.6206 | |
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| 0.1418 | 1.0 | 8816 | 0.1423 | 0.9379 | 0.9400 | 0.9372 | 0.9400 | |
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| 0.0994 | 2.0 | 17632 | 0.1455 | 0.9395 | 0.9405 | 0.9389 | 0.9405 | |
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| 0.0875 | 3.0 | 26448 | 0.1670 | 0.9371 | 0.9379 | 0.9365 | 0.9379 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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