llama3-mammoth-dcft – AI Model by EtashGuha | AlphaNeural AI | AlphaNeural AI

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EtashGuha/
llama3-mammoth-dcft

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text-generation

generated_from_trainer

meta-llama/Meta-Llama-3-8B

autotrain_compatible

text-generation-inference

endpoints_compatible

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llama3-mammoth-dcft

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0635

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: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1738
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.8889	2	1.1009
No log	1.7778	4	1.0781
No log	2.6667	6	1.0635

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1