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babylama-gpttoken – AI Model by Harshatheeswar | AlphaNeural AI
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Harshatheeswar
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babylama-gpttoken
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
babylm/babyllama-100m-2024
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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babylama-gpttoken
This model is a fine-tuned version of
babylm/babyllama-100m-2024
on the None dataset. It achieves the following results on the evaluation set:
Loss: 38.2921
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
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
30.4256
0.9999
5559
29.8987
38.306
1.9999
11119
37.7677
38.7146
3.0000
16679
37.7375
37.8024
4.0
22239
38.2709
37.35
4.9993
27795
38.2921
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
