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toxicity-scorer-smollm2-360m-freeze – AI Model by tcapelle | AlphaNeural AI
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tcapelle
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toxicity-scorer-smollm2-360m-freeze
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transformers
safetensors
llama
text-classification
generated_from_trainer
HuggingFaceTB/SmolLM2-360M
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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toxicity-scorer-smollm2-360m-freeze
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-360M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7434
F1: 0.6049
Accuracy: 0.5261
Precision: 0.7390
Recall: 0.5261
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: 1e-06
train_batch_size: 44
eval_batch_size: 44
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 352
total_eval_batch_size: 352
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
0.7481
0.6025
0.5231
0.7383
0.5231
0.7489
1.5277
5000
0.7434
0.6049
0.5261
0.7390
0.5261
Framework versions
Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
