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Cold-Rec-LLama-2-7B – AI Model by bilkultheek | AlphaNeural AI
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Cold-Rec-LLama-2-7B
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
ahxt/llama1_s_1.8B_experimental
adapter
us
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Cold-Rec-LLama-2-7B
This model is a fine-tuned version of
ahxt/llama1_s_1.8B_experimental
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0777
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: 0.001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
0.2217
1.992
249
0.2119
0.1599
3.984
498
0.1558
0.1177
5.976
747
0.1157
0.0842
7.968
996
0.0875
0.075
9.96
1245
0.0776
Framework versions
PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.17.0
Tokenizers 0.19.1
