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M365_h2_Instruction_and_Explanation – AI Model by marklicata | AlphaNeural AI
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marklicata
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M365_h2_Instruction_and_Explanation
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
marklicata/M365_h1_base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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M365_h2_Instruction_and_Explanation
This model is a fine-tuned version of
marklicata/M365_h1_base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2550
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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
324
0.2558
0.3721
2.0
648
0.2062
0.3721
3.0
972
0.2550
Framework versions
Transformers 4.46.1
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.1
