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babylama-scratch – AI Model by Harshatheeswar | AlphaNeural AI
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Harshatheeswar
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babylama-scratch
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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-scratch
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: 3.9140
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
4.3038
0.9999
5559
4.3162
4.0495
1.9999
11119
4.0657
3.8894
3.0000
16679
3.9579
3.769
4.0
22239
3.9166
3.73
4.9993
27795
3.9140
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
