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myBit-Llama2-jp-127M-test-25 – AI Model by HachiML | AlphaNeural AI
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myBit-Llama2-jp-127M-test-25
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transformers
safetensors
bit_llama
text-generation
generated_from_trainer
custom_code
autotrain_compatible
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myBit-Llama2-jp-127M-test-25
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 3.5789
eval_runtime: 321.4234
eval_samples_per_second: 665.935
eval_steps_per_second: 6.938
epoch: 0.29
step: 12000
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: 0.0024
train_batch_size: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5000
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
4.675700
0.05
2000
3.745954
3.607800
0.1
4000
3.538378
3.580200
0.15
6000
3.586447
3.523000
0.2
8000
3.467970
3.453600
0.25
10000
3.596693
3.543700
0.29
12000
3.578868
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
mybitnet 0.5.4
