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African-ultrachat-alpaca-GGUF – AI Model by afrideva | AlphaNeural AI
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afrideva
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African-ultrachat-alpaca-GGUF
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alignment-handbook
masakhane/African-ultrachat-alpaca
quantized
conversational
masakhane/african-ultrachat
sd
untrachat_en
endpoints_compatible
generated_from_trainer
ggml
gguf
template
gemma
quantized
us
sft
text-generation
trl
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Model card
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African-ultrachat-alpaca-GGUF
Quantized GGUF model files for
African-ultrachat-alpaca
from
masakhane
Original Model Card:
zephyr-7b-gemma-sft-african-ultraalpaca
This model is a fine-tuned version of
google/gemma-7b
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0034
1.0
23628
1.0630
0.6403
2.0
47257
0.8788
0.2976
3.0
70884
0.8875
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2
