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llama-68m-oasst_top1 – AI Model by NowaBwagel0 | AlphaNeural AI
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llama-68m-oasst_top1
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
JackFram/llama-68m
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama-68m-oasst_top1
This model is a fine-tuned version of
JackFram/llama-68m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.3252
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.6617
0.99
50
3.5323
3.4191
1.99
101
3.3614
3.3489
2.96
150
3.3252
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.0
Tokenizers 0.15.0
