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llama_2_cot_simplest_code_math_4_3_epoch_full – AI Model by CharlesLi | AlphaNeural AI
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CharlesLi
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llama_2_cot_simplest_code_math_4_3_epoch_full
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transformers
tensorboard
safetensors
llama
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
generator
meta-llama/Llama-2-7b-chat-hf
finetune
llama2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama_2_cot_simplest_code_math_4_3_epoch_full
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.6812
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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
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
0.5583
1.9417
100
0.5909
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
