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granite-embedding-107m-multilingual-chat-screener – AI Model by agentlans | AlphaNeural AI
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granite-embedding-107m-multilingual-chat-screener
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safetensors
xlm-roberta
text-classification
multilingual
agentlans/chat-annotated
ibm-granite/granite-embedding-107m-multilingual
finetune
apache-2.0
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granite-embedding-107m-multilingual-chat-screener
This model was trained to filter multilingual multi-turn conversation datasets according to the requirements set out in
agentlans/chat-annotated
.
Input format:
<|user|>prompt<|assistant|>reply<|user|>prompt2<|assistant|>reply2...
. For very long messages, use the special token
<|...|>
.
Output: whether the input conversation meets the minimal safety, quality, and refusal criteria.
This model is a fine-tuned version of
ibm-granite/granite-embedding-107m-multilingual
. It achieves the following results on the evaluation set:
Loss: 0.4081
Accuracy: 0.8229
Num Input Tokens Seen: 51197440
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 5.0.0.dev0
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
