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llama2-7b-backward-model – AI Model by ShubhamNair | AlphaNeural AI
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ShubhamNair
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llama2-7b-backward-model
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Llama-2-7b-hf
finetune
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
8-bit
us
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llama2-7b-backward-model
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.7684
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.96
18
4.7587
No log
1.9733
37
4.7701
No log
2.88
54
4.7684
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
