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cllm-0.0.2-chat-lora-01 – AI Model by anilguleroglu | AlphaNeural AI
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cllm-0.0.2-chat-lora-01
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cllm-0.0.2-chat-lora
This model is a fine-tuned version of
anilguleroglu/cllm-0.0.2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9462
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: 0.0003
train_batch_size: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 50
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.0722
0.2454
500
1.9663
2.0479
0.4908
1000
1.9548
2.0602
0.7362
1500
1.9488
2.0569
0.9816
2000
1.9462
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.4.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
