toxicity-scorer-smollm2-135m-it-freeze
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7842
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
- 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 |
|---|---|---|---|
| No log | 0 | 0 | 3.8389 |
| 3.8172 | 1.0 | 63 | 3.8037 |
| 3.7957 | 2.0 | 126 | 3.7857 |
| 3.7137 | 3.0 | 189 | 3.7842 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for tcapelle/toxicity-scorer-smollm2-135m-it-freeze
Base model
HuggingFaceTB/SmolLM2-135M
Quantized
HuggingFaceTB/SmolLM2-135M-Instruct