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therapy-llama2-7b-colab – AI Model by thejefferson29 | AlphaNeural AI
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therapy-llama2-7b-colab
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-2-7b-chat-hf
llama2
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therapy-llama2-7b-colab
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3100
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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0131
83.4444
250
0.3001
0.0124
166.8889
500
0.3100
Framework versions
PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
