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open-calm-3b-finetuned-mond – AI Model by nszknao | AlphaNeural AI
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open-calm-3b-finetuned-mond
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generated_from_trainer
cyberagent/open-calm-3b
finetune
cc-by-sa-4.0
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open-calm-3b-finetuned-mond
This model is a fine-tuned version of
cyberagent/open-calm-3b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 39.4122
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.53
1
39.4280
No log
1.07
2
39.4122
Framework versions
Transformers 4.33.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3