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results – AI Model by 1em0n | AlphaNeural AI
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transformers
safetensors
hgrn_bit
text-generation
generated_from_trainer
ridger/MMfreeLM-370M
finetune
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
ridger/MMfreeLM-370M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.2207
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: 0.004
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: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
3.2727
2.7982
5000
3.4141
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
