Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+model-index:
+- name: toxicity-scorer-qwen-it
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# toxicity-scorer-qwen-it
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1670
+- F1: 0.9371
+- Accuracy: 0.9379
+- Precision: 0.9365
+- Recall: 0.9379
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| No log        | 0     | 0     | 1.4998          | 0.6765 | 0.6206   | 0.7541    | 0.6206 |
+| 0.1418        | 1.0   | 8816  | 0.1423          | 0.9379 | 0.9400   | 0.9372    | 0.9400 |
+| 0.0994        | 2.0   | 17632 | 0.1455          | 0.9395 | 0.9405   | 0.9389    | 0.9405 |
+| 0.0875        | 3.0   | 26448 | 0.1670          | 0.9371 | 0.9379   | 0.9365    | 0.9379 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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