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Baby-Llama-58M-Seq-10 – AI Model by aakarsh-nair | AlphaNeural AI
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Baby-Llama-58M-Seq-10
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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Baby-Llama-58M-Seq-10
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3897
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: 0.00025
train_batch_size: 128
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 6
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
13.6872
1.0
1033
12.8998
4.3886
2.0
2066
4.7711
2.9416
3.0
3099
3.2937
2.3652
4.0
4132
2.7041
2.1114
5.0
5165
2.4460
2.0699
6.0
6198
2.3897
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Tokenizers 0.19.1
