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falcon-med – AI Model by Pontonkid | AlphaNeural AI
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Pontonkid
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falcon-med
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transformers
pytorch
tensorboard
safetensors
falcon
text-generation
conversational
ybelkada/falcon-7b-sharded-bf16
quantized
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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falcon-7b-sharded-bf16-finetuned-mental-health-conversational
This model is a fine-tuned version of
ybelkada/falcon-7b-sharded-bf16
on an unknown dataset.
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 120
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
